An amazing line up of folks and topics !!! (attached, the PDF fyi)

I have a 5 min. slot too tomorrow 10:45 or so. Emil

"Dear participants of the workshop 'From Data to Causes',

please note that the password has changed to data2cause (instead of data2causes).

We have included the updated access information below. 

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Sorry if you get this twice: this is something I will do too, if I get some funding I am after... fully free online trainings, like Christian's:

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.goquantfish.com%2Fcourses%2Fpath-analysis-with-mplus&data=04%7C01%7C%7C616c2d9599c7434a731908d9625800d9%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637648952368842927%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=CABs1byjOQzDHC7%2FjT10BmCPKEdjpSVazWWsCfg413I%3D&reserved=0

btw, Christian has been trained by Manuel Voelkle, and they have a few publications worth perusing:

Geiser, C. (2020). Longitudinal structural equation modeling with Mplus: A Latent State-Trait perspective: Guilford Publications.
Gische, C., & Voelkle, M. C. (2021). Beyond the mean: A flexible framework for studying causal effects using linear models https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F335030449_Gische_Voelkle_Causal_Inference_in_Linear_Models&data=04%7C01%7C%7C616c2d9599c7434a731908d9625800d9%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637648952368842927%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=b%2BHaDYZpL%2BlBU81XcN8IHv%2BKGbSyfaOAhlo6ZzCIcCg%3D&reserved=0. ?
Gische, C., West, S. G., & Voelkle, M. C. (2020). Forecasting causal effects of interventions versus predicting future outcomes. 

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(sorry if you get 2 messages) fyi: I started populating content into this page, long planned:

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhealth.uconn.edu%2Fcausality%2Fcausality-and-causal-modeling%2F&data=04%7C01%7C%7C50ec1178e0774649329108d9546dc007%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637633652623196486%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=Nr3NWg7Kr%2BREgdKVvSDg0HU5n9gA%2F66jvl%2Bm718e43o%3D&reserved=0

Comments are welcome! thanks!

Emil Coman<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Ffacultydirectory.uchc.edu%2Fprofile%3FprofileId%3DComan-Emil&amp;data=04%7C01%7C%7C50ec1178e0774649329108d9546dc007%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637633652623196486%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=s3AxMMEWPUK00pvJzTgL2hDBg9VLPOWsL0Qn7kLXVXY%3D&amp;reserved=0>, PSTAT<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.amstat.org%2Faccreditation%2Findex.cfm&amp;data=04%7C01%7C%7C50ec1178e0774649329108d9546dc007%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637633652623196486%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=VwcUnIbxQfJRb8UA%2FNAEGoGBhPZVShqm%2BeoV3LldxUk%3D&amp;reserved=0> PhD<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.researchgate.net%2Fprofile%2FEmil_Coman&amp;data=04%7C01%7C%7C50ec1178e0774649329108d9546dc007%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637633652623196486%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=BOyD9q9HWN3E1oQK5XShOSaSaEG73cH7fVXgO7Pc1rc%3D&amp;reserved=0> Blog<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fevaluatehelp.blogspot.com%2F&amp;data=04%7C01%7C%7C50ec1178e0774649329108d9546dc007%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637633652623196486%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=onKl4L9ctzO%2FnDSRIPBDcaVmi3ZASsrpixPMMnDprQo%3D&amp;reserved=0>; InCHIP<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.chip.uconn.edu%2Fchipweb%2Fbio.php%3Fid%3D773&amp;data=04%7C01%7C%7C50ec1178e0774649329108d9546dc007%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637633652623196486%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=MZxlelsqVr7ZttiLtUnnxkC0cCtXU2eDF%2B3950gcO5A%3D&amp;reserved=0>; CIRA<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fcira.yale.edu%2Fpeople%2Femil-coman-phd&amp;data=04%7C01%7C%7C50ec1178e0774649329108d9546dc007%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637633652623196486%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=WgLNeXDn1yLPS0MuOZ4b6WE5hJNWAlitN3%2Fy%2FTEzwOc%3D&amp;reserved=0>
UConn Health Disparities Institute<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhealth.uconn.edu%2Fhealth-disparities%2Fabout-us%2Fstaff%2F&amp;data=04%7C01%7C%7C50ec1178e0774649329108d9546dc007%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637633652623196486%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=vecBmVOiRvo6JkKvgKKnaGKydGnuyRM7hvRCBadOjsA%3D&amp;reserved=0> (HDI)
I telecommute: you can reach me by email, or txt me at 860-375-4044
I acknowledge that the land on which we gather is the territory of the Mohegan, Mashantucket Pequot, Eastern Pequot, Schaghticoke, Golden Hill Paugussett, Nipmuc, and Lenape Peoples, who have stewarded this land throughout the generations. We thank them for their strength and resilience in protecting this land, and aspire to uphold our responsibilities according 

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Does anyone have a copy of this book? I would need to borrow it for 1-2 days if possible. Thanks!

Path analysis: a primer

Ching Chun Li

Publisher: Pacific Grove, Calif. : Boxwood Press, 1986.?

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.worldcat.org%2Ftitle%2Fpath-analysis-a-primer%2Foclc%2F37274004%26referer%3Dbrief_results&data=04%7C01%7C%7C5b0420a9b54f4aa3830008d950706fd3%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637629266102212308%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=YcDkbvcFWkEy%2B%2FuaFI6SJoNZKu5InBvWID5Lt0hh9i8%3D&reserved=0

Emil Coman<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Ffacultydirectory.uchc.edu%2Fprofile%3FprofileId%3DComan-Emil&amp;data=04%7C01%7C%7C5b0420a9b54f4aa3830008d950706fd3%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637629266102212308%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=5fJyZMhZFV6POKTAkusEMEmTPexiq7hD568TNwAxyvY%3D&amp;reserved=0>, PSTAT<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.amstat.org%2Faccreditation%2Findex.cfm&amp;data=04%7C01%7C%7C5b0420a9b54f4aa3830008d950706fd3%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637629266102212308%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=8AyQjzujhhXd8%2F%2FvWYlSATmsGx83V39tUlRbxe4U8bM%3D&amp;reserved=0> PhD<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.researchgate.net%2Fprofile%2FEmil_Coman&amp;data=04%7C01%7C%7C5b0420a9b54f4aa3830008d950706fd3%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637629266102212308%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=9uT5EBWzDcvHLm3Al%2Fr%2BYKAbn5hnWfLKwMLfsTLGhvA%3D&amp;reserved=0> Blog<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fevaluatehelp.blogspot.com%2F&amp;data=04%7C01%7C%7C5b0420a9b54f4aa3830008d950706fd3%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637629266102212308%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=mskS7t%2Fvn%2F9q%2B72orKso%2B8nMR0TfhbpEg07lJ3XzM3o%3D&amp;reserved=0>; InCHIP<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.chip.uconn.edu%2Fchipweb%2Fbio.php%3Fid%3D773&amp;data=04%7C01%7C%7C5b0420a9b54f4aa3830008d950706fd3%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637629266102212308%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=wTTaSQxyQCNyC02E8ukBJ9vmVG8WaVepwArcfgWA7SM%3D&amp;reserved=0>; CIRA<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fcira.yale.edu%2Fpeople%2Femil-coman-phd&amp;data=04%7C01%7C%7C5b0420a9b54f4aa3830008d950706fd3%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637629266102212308%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=tSB2RXuJXQd18igjadcR8gEUMdf4Q7DXjbVNEWNs358%3D&amp;reserved=0>
UConn Health Disparities Institute<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhealth.uconn.edu%2Fhealth-disparities%2Fabout-us%2Fstaff%2F&amp;data=04%7C01%7C%7C5b0420a9b54f4aa3830008d950706fd3%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637629266102212308%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=v8MhylxgApSM4HREhpmH57OIC4VBgG1GGMoEI1BxihY%3D&amp;reserved=0> (HDI)
I telecommute: you can reach me by email, or txt me at 860-375-4044
I acknowledge that the land on which we gather is the territory of the Mohegan, Mashantucket Pequot, Eastern Pequot, Schaghticoke, Golden Hill Paugussett, Nipmuc, and Lenape Peoples, who have stewarded this land throughout the generations. We thank them for 

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Hi All,

The ISBA 2021 Virtual Meeting will be held from June 23 to July 2 (only one week away).
Please visit events.stat.uconn.edu/ISBA2021 for detailed information.
The registration is free although the deadline has passed.

UConn is a proud main local organizer for this international event.
There are five short courses (June 23-27) + 5 -day main program (June 28-July 2, 5:00am-9:30pn each day) There are over 800 presentations. So far, over 1900 people have registered this conference. 

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If anyone is interested in the topic in this discussion (see below), you can check out a recording; all materials are attached.

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Func.zoom.us%2Frec%2Fshare%2FSXiG_1CDCTazme0cxB4Jy95vUDx8e7Fsh0jiXOD-LT0IGh5XPMz98LYP4eXHfCRe.cTt_tRkHVtFMXbUN&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C17c557fcf5154b40482908d8ea3e16a8%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637516900763017349%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&sdata=Jp%2BfkZnK1rctjfV%2BgdPvOjuE9HpJpUSsU4TJk3jn0k0%3D&reserved=0

Access Passcode: Dc+4^gRB

Emil

[sorry if you get it twice…]

2 things:

1.

If anyone is interested in the DAG discussion one below, let me know: I'll send a link; it's next Monday 15th, 11am-12.
​2.

I became aware of these works, showing how IV 2SLS estimation is fully replicated in SEM:
Maydeu-Olivares, A., Shi, D., & Fairchild, A. J. (2020). Estimating causal effects in linear regression models with observational data: The instrumental variables regression model https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdrive.google.com%2Ffile%2Fd%2F1ueyc0pCmapj51RK77vi83h7c79Ohk5ex%2Fview%3Fusp%3Dsharing&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7Cb77ac33dfdb5426f36d108d8e3e16a8f%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637509905610610910%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=%2BAi%2F5Oo0IjVSkRljW403Uc0iUxohBW6JXxHslWVg6t4%3D&reserved=0 . Psychological Methods, 25(2), 243.
Maydeu-Olivares, A., Shi, D., & Rosseel, Y. (2019). Instrumental Variables Two-Stage Least Squares (2SLS) vs. Maximum Likelihood Structural Equation Modeling of Causal 

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FYI in case you are interested -- Call for submission: Special Issue of Journal of Data Science on 'Data Science Meets Social Sciences'

FYI:

"Dear all,
this post is to announce a new interdisciplinary seminar series at the intersection of statistics, epidemiology and geography, presented over Zoom, that will take place starting from March 10, 2021.
The seminar series, centered around the topics of spatial statistics, spatial epidemiology, and geographical aspects of public health, is organized by the GEOMED XII scientific committee and has the goal to continue the scientific discourse over these topics in preparation for the 12th edition of GEOMED that will take place - hopefully, in person - in August 2022 at the University of California, Irvine. 

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[sorry if you get this twice...]

Xiaojing Wang in Storrs and I are involved in some working groups listed here https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.samsi.info%2Fworking-groups%2F&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C2373c55025a2402af2fe08d8d378a01c%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637491862316394110%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=xhBHuQw6cT5XUov%2FtSOYHrXD2XLpc5l62JV1ZXatzSE%3D&reserved=0?
[see Program on Data Science in the Social and Behavioral Sciences (Spring 2021)] , which might interest you too; my second reason for this note is to point to a blog post I did on spatial data analysis beyond a regression format:
https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fevaluatehelp.blogspot.com%2F2021%2F02%2Fspatialmed.html&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C2373c55025a2402af2fe08d8d378a01c%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637491862316394110%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=FuncKIGISu%2B%2FIFw0xMtxapDjq6W8kVmdoqEp5gpSOsc%3D&reserved=0?
Let me know if you have comments, critiques, etc.
Emil?

Hi, all,

Xiaojing and I are involved in some working groups listed here https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.samsi.info%2Fworking-groups%2F&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C9d7fe283a90a4262ff3a08d8d37863ad%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637491861303541049%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=bmypbZOBM%2FRUTC3BxlS%2F3w4FhaDytSSwS3M3C7A%2B7OQ%3D&reserved=0?

[see Program on Data Science in the Social and Behavioral Sciences (Spring 2021)] , which might interest you too; my second reason for this note is to point to a blog post I did on spatial data analysis beyond a regression format: 

[More ...]

From Ken Bollen https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Flistserv.ua.edu%2Fcgi-bin%2Fwa%3FA2%3DSEMNET%3B96bd5a45.2012&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C28c1dcabbb2a4b6c6df008d8a5bd8b27%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637441580793520702%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=SpUaPoPtgDbKQCOwlTQahtqJC%2FkjBY3Nu3OR%2Fqu8%2BBo%3D&reserved=0 :

Free didactic seminars - were part of an NSF program that I am co-chairing with Peter Mucha (UNC) on Data Science in the Social and Behavioral Sciences.

The virtual opening workshop for this semester-long program will be January 5, 11, and 12. You can find more details on this and register (free) for it at: https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.samsi.info%2Fdata-science-in-the-social-and-behavioral-sciences-virtual-opening-workshop%2F&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C28c1dcabbb2a4b6c6df008d8a5bd8b27%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637441580793520702%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=5fdb5wc4dIrxLaguMb8YgMiBN%2BPz0p9Mk1T5%2B0SfX8g%3D&reserved=0. REGISTRATION CLOSES ON DECEMBER 28, 2020. All times are in Eastern Standard Time (New York). 

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11/20 Bengt Muthen Colloquium Friday<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2Fdailydigest.uconn.edu%2FpublicEmailSingleStoryView.php%3Fid%3D166427%26cid%3D75%26iid%3D4962__%3B!!N0rdg9Wr!4fOlT8sAS3XwGCamHLqorLsjCq0cRAetrx4aQuOMJuARcMHOjsj_IKqOtC6e7R0CSViU%24&amp;data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C69355af849f0420c272408d88a3ba87d%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637411336120702726%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=ceoTz%2F3Wj9zsRqthgk0QRKGfsKFzJEGNllOv4Pw2WvA%3D&amp;reserved=0>
11/20 Bengt Muthen Colloquium Friday<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdailydigest.uconn.edu%2FpublicEmailSingleStoryView.php%3Fid%3D166427%26cid%3D75%26iid%3D4962&amp;data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C69355af849f0420c272408d88a3ba87d%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637411336120702726%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=DnyhvjDhIiDoDnD0sB5vFbggl5hpoIbUDg4FzNUYs4Y%3D&amp;reserved=0>

Recent Advances in Latent Variable Modeling

Bengt Muthen

Friday, Nov. 20
11:30 a.m. to 1 p.m.

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fuconn-cmr.webex.com%2Fuconn-cmr%2Fj.php%3FMTID%3Dmcffb6bf89878dde1bdb8af0904d19714&amp;data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C69355af849f0420c272408d88a3ba87d%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637411336120702726%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=mwDdbjCpE6fbA3ZVXVa7tvqL90kqV%2FmR9jNK1TXnZ9Q%3D&amp;reserved=0

Password: Mplus

In this talk, Dr. Bengt Muthen gives an overview of some recent and ongoing latent variable research. Borrowing ideas from multilevel factor analysis, longitudinal SEM in a single-level, wide format is formulated in a new way that finds a well-fitting model 45 years after the writing of the classic Wheaton, Muthen, Alwin, and Summers article. This segues into a generalization of latent transition analysis using the multilevel notion of a random 

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Purpose: A few years ago, a colleague and I launched this listserv as a place for interested parties to share advances in statistics and methodology, broadly across scientific fields. Our goal was not to have it be problem-solving specific items but instead to distribute items of broader interest. If you are on the listserv, then someone nominated you as someone who is interested in statistics and/or methodology. 

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Greg, and all,
I have not tried it extensively, but I just ran my first SEM and it seems to be amazingly easy to pull it off!

It relies on a R/lavaan setup for SEM, which is good, because it's a 'back door' into R (causality pun intended: another such door is the use of R/dagitty, which requires no R knowledge, not even data!), one does not need to install R or 'know' R per se, only quickly copy/edit some (simple) lavaan code (lots of examples online). 

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Sorry if you get this twice...

I became aware of JASP last night reviewing a paper; it's a 'SPSS +++', with more powers, including SEM (I know Rens from SEMNET, he's amazing)

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.rensvandeschoot.com%2Ftutorials%2Fjasp-for-beginners%2F&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C641e397ea9bb4ba09a0f08d88718b2fa%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637407887437252247%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=gK6ws7sENMkhvApIxCFHISTHB5twIHeoo5ZnQ6pjSmU%3D&reserved=0

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjasp-stats.org%2F2017%2F11%2F01%2Fjasp-vs-spss%2F&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C641e397ea9bb4ba09a0f08d88718b2fa%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637407887437252247%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=uvWSRQPjIiwH36OPT8HSboM2eFX0s7dPcRXGxL3xeZk%3D&reserved=0

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjasp-stats.org%2Fdownload%2F&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C641e397ea9bb4ba09a0f08d88718b2fa%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637407887437252247%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=0ICS2nGBfmZg5D8v6AhoiM8W0%2FgQtryy5cCBRyKjdmw%3D&reserved=0?

?Emil

I was looking for an old book (anyone HAS it?)
Chiang, C. L. (1968). Introduction to Stochastic Processes in Biostatistics. New York: John Wiley & Sons.

and found in this database https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Febookcentral.proquest.com%2F&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C6d0c7fdb83d84440a1af08d881a089d9%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637401873788598793%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=FxpMFZrBMw%2FEmJGNE95g6WD3xD51MVhPnXBUYFO7uPE%3D&reserved=0 (UConn does not subscribe to it) a few others that will wait for some more time of mine to look through them; email me if you need any of them as PDF.
Emil
Ackerman, E., & Gatewood, L. C. (1979). Mathematical Models in the Health Sciences: A Computer Aided Approach: U of Minnesota Press.
Alston, C., Mengersen, K. L., Pettitt, A. N., & Wiley, J. (2013). Case studies 

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does anyone know what software/tool can create this kind of visual?

[cid:7a1f29ff-2d9d-40f5-a0b7-a06cad5d91d7]

btw: see

CT Daily Covid-19 positives over time

fyi:
https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fbit.ly%2FcovidCT_video&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7Cd426e39569b14fd2f21408d880da53c2%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637401022479632011%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0&sdata=F%2FG2OcGvO2Ai5Ip5PdTaMZUqJJaT75OwJkNl9bx5Iqo%3D&reserved=0
or
https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fyoutu.be%2FODtrH-ACY7Q&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7Cd426e39569b14fd2f21408d880da53c2%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637401022479632011%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0&sdata=NOX%2BvETlcd65OCqcJR3apQWbMCeUKelHNUJnZW5JyJ0%3D&reserved=0
& attached a GIF. Next trick: try to replicate in Tableau, for now a static one: https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbit.ly%2Fcovid_ct&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7Cd426e39569b14fd2f21408d880da53c2%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637401022479632011%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0&sdata=zPjTQZqb5fkms4pJlpxP0A0iQKC52YNHFwQ18BVZVlg%3D&reserved=0
Details:

CT Daily Covid-19 positives, per 100,000 residents, 7-day rolling average, 30 weeks, to Oct. 19, 2020.

+

The number of Covid-19 positives per town as daily rates per 100,000 of each of CT 169 towns' residents, as a 7-day rolling average; numbers are time stamped on each Monday, looking back 1 week. 

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A 'silly' question... I looked online for this and found some indication, but I was hoping there is a packaged tool already to 'do it for me'...

Does anyone know of a way to 'quickly' turn mortality numbers (like these for CT https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fportal.ct.gov%2FDPH%2FHealth-Information-Systems--Reporting%2FMortality%2FMortality-Tables&data=04%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C46d465215345424e013d08d87c1daceb%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637395814175671273%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=Dz%2FJIiYX2Rus3d%2BvihmAHyizR%2BZGYBvk6M5Kh26rqOk%3D&reserved=0? ) into life expectancy #s (at birth, or at different age categories)? 

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Submit your abstract or plan to join us virtually in January!

https://www.eshackathon.org/events/2021-01-ESMAR.html<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.eshackathon.org%2Fevents%2F2021-01-ESMAR.html&data=04%7C01%7C%7C1ddade0ee3ae42628aec08d8748048dc%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637387441604647219%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=S0Cz86AZejxaKTEso2ALg%2BcdEMtQtLYeSMfGbSpnQbc%3D&reserved=0>

FYI:
From: Cappello, Elizabeth <[log in to unmask]>
Sent: Tuesday, October 6, 2020 2:44 PM
To: Cappello, Elizabeth

Subject: CIRA - CMIPS Seminar, October 13 12:00 pm - via Zoom
Dear CIRA Affiliates,

Please join us at an upcoming Center for Methods in Implementation and Prevention Science (CMIPS) Seminar: "An Evaluation of the Product Method for Estimating Natural Indirect Effect and Mediation Proportion in Epidemiological Studies" on Tuesday, October 13 from 12:00 - 1:00 PM via Zoom. (Please see Zoom link below.) 

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From: Cappello, Elizabeth <[log in to unmask]>
Sent: Tuesday, October 6, 2020 2:44 PM
To: Cappello, Elizabeth

Subject: CIRA - CMIPS Seminar, October 13 12:00 pm - via Zoom
Dear CIRA Affiliates,

Please join us at an upcoming Center for Methods in Implementation and Prevention Science (CMIPS) Seminar: "An Evaluation of the Product Method for Estimating Natural Indirect Effect and Mediation Proportion in Epidemiological Studies" on Tuesday, October 13 from 12:00 - 1:00 PM via Zoom. (Please see Zoom link below.) 

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fyi:
Wang, Y., & Blei, D. M. (2019). The blessings of multiple causes. Journal of the American Statistical Association, 114(528), 1574-1596.
& [all pulled into 1 PDF]
Athey, S., Imbens, G. W., & Pollmann, M. (2019). Comment on:"The Blessings of Multiple Causes" by Yixin Wang and David M. Blei. Journal of the American Statistical Association, 114(528), 1602-1604.
D'Amour, A. (2019). Comment: Reflections on the Deconfounder. Journal of the American Statistical Association, 114(528), 1597-1601. doi:10.1080/01621459.2019.1689138
Imai, K., & Jiang, Z. (2019). Comment: The Challenges of Multiple Causes. Journal of the American Statistical Association, 114(528), 1605-1610. doi:10.1080/01621459.2019.1689137
Ogburn, E. L., Shpitser, I., 

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2020 UConn Sports Analytics Symposium

Saturday, October 10, 2020
http://uconnsportsanalytics.org/<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fuconnsportsanalytics.org%2F&data=02%7C01%7C%7Cfb5d0425504c43472d9c08d85103ab1b%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637348423475526715&sdata=ZknJLbKPl46UkW1CvjznCm8ZL7DEvVmk5%2FdFIWRvgPg%3D&reserved=0>
Started in 2019, the Only Conference of Its Kind for Students!

The UConn Sports Analytics Symposium (UCSAS) focuses specifically on students (graduate, undergraduate, and high school) who are interested in sports analytics. Organized by the UConn Statistical Data Science Lab of the Department of Statistics, UCSAS aims to: 1) showcase sports analytics to students at an accessible level; 2) train students in data analytics with application to sports data; and 3) foster collaboration between academic programs and the sports industry. 

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Hi All,

Please consider submitting a proposal to the ESMAR conference being held this January. Attendance will be free!

https://www.eshackathon.org/events/2021-01-ESMAR.html<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.eshackathon.org%2Fevents%2F2021-01-ESMAR.html&data=02%7C01%7C%7C9b515f4260eb480282ae08d850d7d2c0%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637348235174753888&sdata=FEH30oNpc%2BPgr0wKwZm6sqXaUMyR5S69F0ltItVYZUE%3D&reserved=0>

Let me know if you have any questions,
Emily

[cid:6634C298-F1A9-4BF8-97DB-FDE0CD03A6EA]

A trauma intervention evaluation; I added appendices upfront in PDF, they have an extensive list of trauma events in there; they used latent change models, for which this statement (we made initially, their ?[79]!) is becoming 'well known fact':
"Change in PTSD symptoms and in anxiety over the course of treatment was estimated using latent change score (LC) models [76-78] using Mplus 8.0, which is comparable to computing a t-test for repeated measures [79]."
Niemeyer, H., Knaevelsrud, C., Schumacher, S., Engel, S., Kuester, A., Burchert, S., . . . Willmund, G.-D. (2020). Evaluation of an internet-based intervention for service members 

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Some free ones coming up, amazing topics!!!

And one I managed to register for next week, 4 days - 12:00-3:30pm, the time series one.

If anyone wants to listen in with me into parts of this time series one, let me know.

Time-Series Analysis Using Stata<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2F%2Fwww.stata.com%2Fcontactadmin%2Flink.php%3FM%3D15256363%26N%3D3161%26L%3D4053%26F%3DH__%3B!!N0rdg9Wr!8HVM0U8TG7PATA3JSaKzK65xJ-CeIcKB5Nuhxdvne7rc-2UILZYSrOB7PB0oXA%24&amp;data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C96c9a78628314f3adc8d08d7f2b9c4ad%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637244751991033441&amp;sdata=NrL%2F93mzhmuHSBYkVVCa1RQPeLllx7T%2F7qcTM0VVaV4%3D&amp;reserved=0>
12-15 May 2020, Web based

This course reviews methods for time-series analysis and shows how to perform the analysis using Stata. The course covers methods for data management, estimation, model selection, hypothesis testing, and interpretation. Learn more »<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2F%2Fwww.stata.com%2Fcontactadmin%2Flink.php%3FM%3D15256363%26N%3D3161%26L%3D4054%26F%3DH__%3B!!N0rdg9Wr!8HVM0U8TG7PATA3JSaKzK65xJ-CeIcKB5Nuhxdvne7rc-2UILZYSrOCb8YGsuA%24&amp;data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C96c9a78628314f3adc8d08d7f2b9c4ad%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637244751991033441&amp;sdata=yJaC9KIBGDGs%2BYBwUMzv0sfVHVIAMn8OCIfPVigxzf4%3D&amp;reserved=0>?

Hi all, I hope you are fine during these crazy times; I went to get this article

Examination of Nonlinear and Functional Mixed-Effects Models with Nonparametrically Generated Data

then I got pulled into a downloading vortex; most are on some longitudinal modeling, but I grabbed many others by mistake’ too; in the spirit of ‘we’re in this together’, I have uploaded all of them into a ZIP, in dropbox: 

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Hi, folks, I hope you are weathering this epidemic at least physically ok.

I wanted to share a tool I've been working on for a few days (I had to learn to use Tableau public) that tracks disparities in Covid-19 infections and deaths in CT.

Comments, critiques? Shoot them!

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbit.ly%2Fcovid_hds_ct&data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7Ccef0373ddbad4f8381cb08d7e0c15601%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637224993282739825&sdata=8Kk7lZ84yPukAd4J5jF5wW9vRHFTCmQXn3XqP7%2BvTt0%3D&reserved=0?

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpublic.tableau.com%2Fprofile%2Fcoman%23!%2Fvizhome%2FCovid-19infectiondisparitiesinCTuptoApr_10%2FDashboard1%3Fpublish%3Dyes&data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7Ccef0373ddbad4f8381cb08d7e0c15601%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637224993282739825&sdata=rulyM6QFK3L9thGpBygcwNZePin8S4t0hwNAGkyVZT0%3D&reserved=0

Built by a Romanian mathematician:
https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgabgoh.github.io%2FCOVID%2Findex.html&data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C1f24872c0c7748ab8f2808d7d8bda283%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637216181298574098&sdata=n2Xg3lZK5MUnIlQy0m8OSRHLzjZQAGA0OHSVFsg3oZ0%3D&reserved=0
Pretty flexible tool!!!

From: Coman,Emil <[log in to unmask]>
Sent: Saturday, April 4, 2020 10:47 AM
Subject: College Students Are Rebuilding Their Schools In Minecraft

online schools, almost real https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.theverge.com%2F2020%2F3%2F31%2F21200972%2Fcollege-students-graduation-minecraft-coronavirus-school-closures&amp;data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C1f24872c0c7748ab8f2808d7d8bda283%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637216181298574098&amp;sdata=aDuQgZquEzmIyaSPcsTj8gCgU40449oGD3QjA%2F84%2B3c%3D&amp;reserved=0​​

(sorry if you get this twice…)

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fyilinandrewang.shinyapps.io%2FpwrSEM%2F&data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7Cbb4c8ed22d564c13163008d7d64e8fdb%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637213505217473530&sdata=A3WW9TPU1SpWNvbXZs943%2Fg6ZQ6Y5qP0I%2FIYZrEt6mQ%3D&reserved=0

Wang, Y. A., & Rhemtulla, M. (in press<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpsyarxiv.com%2Fpj67b&amp;data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7Cbb4c8ed22d564c13163008d7d64e8fdb%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637213505217473530&amp;sdata=cP3fiqumB0gT5Q5lB85rluq3RJdxLGgK0zHddqtFUnU%3D&amp;reserved=0>). Power analysis for parameter estimation in structural equation modeling: A discussion and tutorial. Advances in Methods and Practices in Psychological Science.

This is a pretty revolutionary and amazing too, as it's of course useful for more than power analysis, it can be used to introduce folks to SEM. 

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On Thursday, 26 March 2020, Stata statistician, Dr. Chuck Huber, is offering free online, virtual demonstrations specifically for UConn-allied scholars. UConn has a current site license to this statistical software platform (more information here<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsoftware.uconn.edu%2Fsoftware%2Fstata%2F&data=02%7C01%7C%7C17c894fce8e14b2a668608d7ccef373c%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637203200096079085&sdata=SiiiTwGs9%2FCOwJo30J6I14N2zHhueu1xS4qQIHtNyRg%3D&reserved=0>).

I reached out to some Stata users who suggested topics for him to illustrate, and the more popular of these are included below; there is also time for office hours. (Some of you may remember Huber from a few years ago, when he visited in person.) 

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If you are interested in the statistical software platform Stata, then you will also be interested to see that one of their statisticians, Chuck Huber, is offering online, virtual demonstrations on Thursday, 26 March 2020, specifically for UConn-allied scholars. Free for all.

I reached out to some Stata users who suggested topics for him to illustrate, and the more popular of these are included below, including time for office hours. (Some of you may remember Huber from a few years ago, when he visited in person.) 

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STATISTICS COLLOQUIUM

Eric Loken
Department of Educational Psychology
University of Connecticut
Neag School of Education

Statistical Intuitions and the Reproducibility Crisis in Science
Abstract
Science is responding well to the so-called reproducibility crisis with positive improvements in methodology and transparency. Another area for improvement is awareness of statistical issues impacting inference. We explore how some problematic intuitions about measurement, statistical power, multiple analyses, and levels of analysis can affect the interpretation of research results, perhaps leading to mistaken claims. 

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You may find the attached article, authored by Lydia Denworth, of interest. It picks up on the debate spurred by last March's American Statistician issue, "Moving to a World beyond "p< 0.05." (Wasserstein et al.). At four pages, it's a quick read. Nice graphics. -Blair

Blair T. Johnson, Ph.D.
Associate Editor, Psychological Bulletin<https://nam01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.apa.org%2Fpubs%2Fjournals%2Fbul%2F&data=02%7C01%7C%7Ce073fb0bb9f24fade0d908d740ebe3bb%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637049254881752749&sdata=bOCkK820o%2BXNQA4NzUexI0QoIG32IG0Sdvlj9bjYZjY%3D&reserved=0>
Senior Editor, Social Science & Medicine<https://nam01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.journals.elsevier.com%2Fsocial-science-and-medicine%2F&data=02%7C01%7C%7Ce073fb0bb9f24fade0d908d740ebe3bb%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637049254881762743&sdata=KgzVcMhXXUKsQLQmc9ftm1OaiDgwHG5arzcNS9G2XMU%3D&reserved=0>
Board of Trustees Distinguished Professor
Department of Psychological Sciences
406 Babbidge Road, Unit 1020
University of Connecticut
Storrs CT 06269-1020 USA
Phone: +1 860 486-2511 | Fax: +1 860 486-2760
SHARP Research Lab<https://nam01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fsharp.uconn.edu%2F&data=02%7C01%7C%7Ce073fb0bb9f24fade0d908d740ebe3bb%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637049254881762743&sdata=uFIhBjEXw2B84o3SID2q2ENCMi3Gi%2BA%2Bf1WPqVaJ47I%3D&reserved=0> | Google Scholar<https://nam01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com%2Fcitations%3Fuser%3DyOv5reAAAAAJ%26hl%3Den%26oi%3Dao&data=02%7C01%7C%7Ce073fb0bb9f24fade0d908d740ebe3bb%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637049254881772738&sdata=fDbh90sVf6vaEOWea0uJtnrR5UpFBq6OIAEMPf%2FpHi8%3D&reserved=0> | @SHARP_UCONN<https://nam01.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftwitter.com%2FSHARP_UCONN&data=02%7C01%7C%7Ce073fb0bb9f24fade0d908d740ebe3bb%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637049254881772738&sdata=XxXx2riv4sdyCIVmfV4QcM8U1OlqXZV5d%2FavSdhxW3I%3D&reserved=0>

Two Methods Presentations will take place starting at 3:00 pm, Friday 10 May 2019, in the InCHIP Fisher room (colloquium room just inside InCHIP). Please share with interested parties. Thank you.

At 3:00, Dakota Cintron and Prof. D. Betsy McCoach will present, "Right Model, Wrong People: Correct Class Assignment in Latent Class Analysis"; here is an abstract:
Research on Latent Class Analysis (LCA) has examined the question of how accurately the correct number of latent classes can be recovered; however, relatively few studies have examined the question of how accurately correct class assignment can be recovered. This simulation study evaluates 

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Dear All,

The Statistical Consulting Service (SCS) at the University of Connecticut is pleased to announce the third workshop.

A note also: Maya (and Laura Balzer) have an ‘Intro to Causal inference’ full course content posted online
https://nam01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ucbbiostat.com%2F&data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C424989d3cafd4bffe5b508d6a95f90fa%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C636882625252214360&sdata=V3%2FlHbAxHeyrgPmTjNh5y7VGKEK%2Bz2531WIBWeg6hDQ%3D&reserved=0

fyi:
Please click the link below to join the workshop:
https://nam01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fzoom.us%2Fj%2F679819841&amp;data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C424989d3cafd4bffe5b508d6a95f90fa%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C636882625252214360&amp;sdata=Wou0SE2WiFnOPVELc07TRe80IuDxlYUvRw1bZL0e318%3D&amp;reserved=0<https://nam01.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__zoom.us_j_679819841%26d%3DDwMFaQ%26c%3DEZxp_D7cDnouwj5YEFHgXuSKoUq2zVQZ_7Fw9yfotck%26r%3DXIQwBrAcLiCvtWY22CtR-g%26m%3DWarkITgQgj5FFo0GYziIhcm6xsYfDqBr8PXI1QgrxQk%26s%3DnrAeBE5TE7bkjdh5TJvygR6QtVTRBh7mtqbk3Kz1W88%26e&amp;data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7C424989d3cafd4bffe5b508d6a95f90fa%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C636882625252214360&amp;sdata=FJ4jiCAjfHhR5hy4FPc6CZRz57reT4EXEuX%2FVuZVQ8k%3D&amp;reserved=0=>
Workshop 2 : March 15, 2019 : 12:30pm – 02:30pm EST
Targeted maximum likelihood estimation, integrating machine-learning, to evaluate the effects of longitudinal interventions.
Speaker: Maya Petersen
Abstract: Targeted Maximum Likelihood Estimation (TMLE) provides an approach for estimating the causal effects of longitudinal interventions with several attractive properties. TMLE uses estimates of both the propensity score (as used in inverse probability weighting) and of a series of outcome regressions (as 

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Dear All,

Welcome to attend this workshop. Thanks!

Ming.

Hi all, reminder stats-methods-club will meet today at 4:00pm. The location is the main conference room in Ryan. Find the main entrance to InCHIP (in RYAN), which faces Belden Hall in the Alumni Quad. Once inside the double doors, you’ll see it just slightly to the left. –Blair

From: UConn Statistics and Methodology Journal Club <[log in to unmask]> On Behalf Of Hennessy, Emily
Sent: Tuesday, 15 January, 2019 9:32 AM
To: [log in to unmask]
Subject: Statistics Talk, Friday, Feb. 1: ‘Translating back’ common statistical test into their graphical causal language ancestors 

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Hi, all (maybe) interested!

First of all, I asked a friend to help make this available to those who cannot come in person, so:

Join Zoom Meeting
https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fchc1.zoom.us%2Fj%2F830791006&amp;data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7Ce28332891b104ae8fd3508d687f45d55%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C636845880943441959&amp;sdata=QCnJNvPGzvhaPpqbMA9zbaAY%2ByAdx%2Be6zKSe2XqjiPc%3D&amp;reserved=0<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__chc1.zoom.us_j_830791006%26d%3DDwMFAw%26c%3DEZxp_D7cDnouwj5YEFHgXuSKoUq2zVQZ_7Fw9yfotck%26r%3DXIQwBrAcLiCvtWY22CtR-g%26m%3D2zXejXyte42DcY0d3fTNlZPkCB1sG2ysY7q1EbfWFxQ%26s%3DZG5BlU3-Un_SNC7-HIvlhOvlauTVFB9WAC9raDWaPYk%26e&amp;data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7Ce28332891b104ae8fd3508d687f45d55%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C636845880943441959&amp;sdata=rqwGVTh8bDrMtxT%2F3rWQFBQm9dCQu53%2BswRPnoYF3Y4%3D&amp;reserved=0=>
Then, while I prepared a slide ‘show’, I would like to make this a working session, so I posted here https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnicoman%2Fcausal&amp;data=02%7C01%7CSTATS-METHODS-CLUB-L%40LISTSERV.UCONN.EDU%7Ce28332891b104ae8fd3508d687f45d55%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C636845880943441959&amp;sdata=n525jtEC97A6RH2AbYHHpwC47oVMsVjp2tJQLcdsQSs%3D&amp;reserved=0

i. the slides, so you can get materials in advance/after: I link in there (some articles, some books too, my copies)
ii. the R codes in a text file
iii. the data (real) I will use to illustrate some tools (*.dat and *.dta=Stata) 

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FYI: a topic course that may be of interest to your students. Forwarding to interested parties is greatly appreciated.

‘Translating back’ common statistical test into their graphical causal language ancestors: adding practical statistical codes to the Jaccard & Jacoby ‘tests-causal’ model crosswalk

Emil Coman

I will add open source R code in daggity and lavaan to give practical (and testable) meaning to theoretical causal models behind common statistical analyses (as shown in Jaccard & Jacoby, 2009: 1.i. Appendix): t-test; ANOVA; Pearson chi-square; regression; mediation; causal mediation, and more. We will tackle also how and where to ‘add time’ in causal models. 

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My colleague, Emily Alden Hennessy, and I have written a paper on contemporary standards in systematic reviewing (especially meta-analysis) and would be happy to discuss it with you this Friday at 4:00pm, in the main InCHIP conference room (Ryan #14, just inside the main entrance to InCHIP, which in turn faces Belden Hall). The paper is attached. Of course, if you cannot make it and still wish to comment, we'd appreciate receiving these separately. Thanks! 

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A good topic for our UConn Health CICATS journal club (I can take it on, but could use a co-presenter/worker; we could try it on some data from CT I have been crunching, see figure below); in R.
Albert, J. M., Cho, J. I., Liu, Y., & Nelson, S. (2018). Generalized causal mediation and path analysis: Extensions and practical considerations. Statistical methods in medical research, 0962280218776483.
Emil 

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Some may have noticed these; I gathered all comments in 1 PDF, and attach the original and the 'response to criticisms'.
Emil

There are still seats available for a three day course on mixture modeling, June 4-6, 2018. UCONN faculty and students may register for the course at a substantial discount. The cost of the three day workshop is $400 for UCONN students, postdocs, and faculty- use the promo code UCONN when you register. 

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Hi Folks,

Looking forward to the M3 conference next week and hope to see some of you there.

If anyone is interested in meeting in person for the conference lunch in the Student Union Ballroom on Tuesday at noon, we can meet outside the ballroom and sit together.

I will be presenting on Wednesday morning at 9:15am on exploratory data analysis (if you are presenting and would like to share so others on the list serve will attend, please send on your details!) 

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Dear All,

SCS will host an annual workshop day. See the attached flyer for more details.
All are welcome to attend.

Below is the registration information:

Registration: http://merlot.stat.uconn.edu/www/consulting/workshops2/register.php
Registration is now open and there is no registration fee. Participants can sign up for one
or multiple sessions. Lunch will be provided to all participants in the Union Street Market
(USM). Please pick up lunch cards upon sign-in on May 10. 

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Fyi (a great intro to the topic)
Glymour, C. (2000). Bayes nets as psychological models<https://drive.google.com/open?id=1YjsRz6CggBp_oAYTWoE-_-HPsV-M76Hd>. In F. C. Keil & R. A. Wilson (Eds.), Explanation and cognition (pp. 169-197). [chapter]
Emil

You may have seen this, there’s a section on causality in this issue https://ajph.aphapublications.org/toc/ajph/108/5

Ahern, J. (2018). Start With the “C-Word,” Follow the Roadmap for Causal Inference. American Journal of Public Health, 108(5), 621-621. doi:10.2105/ajph.2018.304358
Begg, M. D., & March, D. (2018). Cause and Association: Missing the Forest for the Trees. American Journal of Public Health, 108(5), 620-620. doi:10.2105/ajph.2018.304366
Chiolero, A. (2018). Data Are Not Enough—Hurray For Causality! American Journal of Public Health, 108(5), 622-622. doi:10.2105/ajph.2018.304379
Glymour, M. M., & Hamad, R. (2018). Causal Thinking as a Critical Tool for Eliminating Social Inequalities in Health. American Journal of Public Health, 

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Not sure everyone knows about this journal, it has articles in different style, the Bayesian networks intro below is the best I've seen (NO formulas!)

Anthony, C., & Fenton, N. (2018). Things to know about Bayesian networks. Significance. https://rss.onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2018.01126.x
https://www.researchgate.net/profile/Anthony_Constantinou/publication/324565189_Things_to_know_about_Bayesian_networks/links/5ad63590458515c60f55f889/Things-to-know-about-Bayesian-networks.pdf
They cite 2 interesting pieces, attached too:
Constantinou, A. C., Fenton, N., Marsh, W., & Radlinski, L. (2016). From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artificial intelligence in medicine, 67, 75-93.
Hagmayer, Y., Sloman, S. A., Lagnado, D. A., & Waldmann, M. R. (2007). Causal reasoning through intervention. In A. Gopnik, L. 

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Hi Everyone,

For those that could make it, thank you for coming to the network meta-analysis demonstration on Friday! I thoroughly enjoyed your questions and discussion. Based on your feedback, I have some made some additional updates to the slides (take a look at the notes sections). Additional information on this method can also be found in Stata help files. 

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Demonstration of Network Meta-Analysis (Frequentist Approach)
Emily A. Hennessy

Meta-analytic reviews quantitatively synthesize findings across multiple primary studies, and thus provide a useful method for evaluating the current best evidence regarding intervention effectiveness. Whereas traditional pairwise meta-analysis synthesizes direct evidence about a single intervention-comparison contrast (e.g., similar treatment vs. control conditions reported in one or more trials), network meta-analysis (Petropoulou et al., 2017) can assess the comparative effectiveness of multiple interventions simultaneously by pooling direct and indirect evidence. Network meta-analyses can therefore provide more precise estimates of effects and permit comparison of interventions that were not directly compared in any 

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The event below is free although we are asking for RSVPS as space is limited and refreshments will be provided. Please feel free to share.

Best,
Jennifer Dineen

All are welcome to this free event! Hope to see you there.

NEAAPOR and the University of Connecticut

Present
Anybody Home?? A Panel Discussion on Increasing Survey Response 

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EPSY 6194-010: Seminar in Data Science
Instructors: Drs. Betsy McCoach and Devin Kearns
Wednesdays 5:00-8:00 pm

Data Science has grown from a buzzword to a burgeoning field in the past decade. Data scientists must be able to harvest, tame, and manipulate data as well as to ask and answer important questions of interest through data analysis, and they must be able to communicate their results to a variety of audiences, both verbally and visually. As such, data science involves a combination of computer programming, analytic, creative and critical thinking, and communications skills. In this graduate seminar in data science, we 

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Demonstration of Network Meta-Analysis (Frequentist Approach)
Emily A. Hennessy

Meta-analytic reviews quantitatively synthesize findings across multiple primary studies, and thus provide a useful method for evaluating the current best evidence regarding intervention effectiveness. Whereas traditional pairwise meta-analysis synthesizes direct evidence about a single intervention-comparison contrast (e.g., similar treatment vs. control conditions reported in one or more trials), network meta-analysis (Petropoulou et al., 2017) can assess the comparative effectiveness of multiple interventions simultaneously by pooling direct and indirect evidence. Network meta-analyses can therefore provide more precise estimates of effects and permit comparison of interventions that were not directly compared in any 

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Hi Everyone,

My apologies for the late notice, but due to departmental scheduling conflicts the talk planned for tomorrow has been rescheduled to Friday, April 20th at 3pm. Hope you are still able to join!

Demonstration of Network Meta-Analysis (Frequentist Approach)
Emily A. Hennessy

Meta-analytic reviews quantitatively synthesize findings across multiple primary studies, and thus provide a useful method for evaluating the current best evidence regarding intervention effectiveness. Whereas traditional pairwise meta-analysis synthesizes direct evidence about a single intervention-comparison contrast (e.g., similar treatment vs. control conditions reported in one or more trials), network meta-analysis (Petropoulou et al., 2017) can assess 

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FYI- as part of DATIC, We are also offering a 3-day course on Mixture Modeling here at UCONN June 4-6, 2018, taught by Eric Loken.
The description appears below.
Mixture Modeling
June 4-6, 2018
Dr. Eric Loken

This 3-day mixture modeling workshop will survey techniques for exploring heterogeneous latent structure in data. We will begin by defining a variety of mixture models. The main focus will be on latent class analysis (LCA) and latent profile analysis (LPA), with applications in health and education. Additional models will include mixture regression models, mixture IRT, k-means clustering, and growth mixture models for longitudinal 

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A great opportunity, with my comments (I took it before); this year it has an online attendance option too. Emil

Introduction To Finite Mixture Modeling (ON-SITE and ON-LINE)

Three-day short course for research professionals, faculty, and
graduate students.

April 25-27, 2018 (Wednesday - Friday)

Instructor:
Dr. Jeffrey Harring, University of Maryland
([log in to unmask]<mailto:[log in to unmask]>)

We welcome on-site participants who wish to be able to
interact directly with the instructor. 

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Talk at 4:00pm Friday, 6 April 2018

Demonstration of Network Meta-Analysis (Frequentist Approach)
Emily A. Hennessy

Meta-analytic reviews quantitatively synthesize findings across multiple primary studies, and thus provide a useful method for evaluating the current best evidence regarding intervention effectiveness. Whereas traditional pairwise meta-analysis synthesizes direct evidence about a single intervention-comparison contrast (e.g., similar treatment vs. control conditions reported in one or more trials), network meta-analysis (Petropoulou et al., 2017) can assess the comparative effectiveness of multiple interventions simultaneously by pooling direct and indirect evidence. Network meta-analyses can therefore provide more precise estimates of effects and permit comparison of interventions 

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Talk at 4:00pm today, Friday, 16 February 2018

The Moving Constant Technique in Meta-Analysis
Blair T. Johnson

In any scientific discipline, the ability to portray research patterns graphically often aids greatly in interpreting a phenomenon. In part to depict phenomena, the statistics and capabilities of meta-analytic models have grown increasingly sophisticated. Accordingly, this presentation details how to move the constant in weighted meta-analysis regression models (viz. "meta-regression") to illuminate the patterns in such models across a range of complexities. Although it is commonly ignored in practice, the constant (or intercept) in such models can be indispensable when it is not 

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I thought that members of this list would be interested in the colloquium that we have planned for Friday, February 23rd from 11:30-1:00 in the Gentry School of Education building (Room 144). Our speaker is David Weakliem<https://sociology.uconn.edu/weakliem/>, author of Hypothesis Testing and Model Selection in the Social Sciences.<https://www.guilford.com/books/Hypothesis-Testing-Model-Selection-Social-Sciences/David-Weakliem/9781462525652>

The magic number: what should be the standard for statistical significance?
David Weakliem
Professor, Dept. of Sociology, University of Connecticut 

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Talk at 4:00pm this Friday, 16 February 2018

The Moving Constant Technique in Meta-Analysis
Blair T. Johnson

In any scientific discipline, the ability to portray research patterns graphically often aids greatly in interpreting a phenomenon. In part to depict phenomena, the statistics and capabilities of meta-analytic models have grown increasingly sophisticated. Accordingly, this presentation details how to move the constant in weighted meta-analysis regression models (viz. "meta-regression") to illuminate the patterns in such models across a range of complexities. Although it is commonly ignored in practice, the constant (or intercept) in such models can be indispensable when it is not 

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Hello all,

Welcome to the UConn Statistics and Methodology Journal Club!

Our goal is to foster a supportive community for students, professors, and others who are interested in improving their methodological prowess. The idea is to highlight interesting recent articles and/or techniques. To demonstrate important statistical macros and perhaps provide hands-on examples. To show important new ways of gathering data, whether quantitative or qualitative. And to permit discussion from the audience. 

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