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BEGIN:VEVENT
DTSTAMP:20260508T122918Z
DTSTART;VALUE=DATE:20200519
DURATION:P2D
SUMMARY:CANCELLED - An introduction to modern R\, statistical modelling\,
  and mixed models
UID:20200519-8a17841b6f1daf12016f8517018543dd@warwick.ac.uk
CREATED:20200513T142617Z
DESCRIPTION:This workshop will cover several topics in an integrative fas
 hion. The first half day will be devoted to an overview of modern tools 
 for data science in R: Rmarkdown and the tidyverse. Based on this knowle
 dge\, the second half day will be devoted to an introduction to statisti
 cal modelling in R. The second day will introduce mixed models. Mixed mo
 dels are a generalization of ordinary regression models that explicitly 
 capture dependencies among related data points via random-effects parame
 ters. Such dependencies are ubiquitous in psychology due to collecting m
 ore than one data point from the same participant and/or from the same i
 tem. Compared to traditional analyses approaches that ignore these depen
 dencies\, mixed models provide more accurate (and generalizable) estimat
 es\, improved statistical power\, and non-inflated Type I errors. The wo
 rkshop will introduce the functionality of lme4\, the gold standard for 
 estimating mixed models in R. In addition\, it will introduce the functi
 onality of afex\, which simplifies many aspects of using lme4\, such as 
 the calculation of p-values for mixed models. Attendants are expected to
  have knowledge of R. Further information and details on how to book a p
 lace can be found on the event page.
LOCATION:SO.11
URL:/fac/cross_fac/esrcdtc/researchandtraining/advan
 cedtraining/modernr
ATTACH:/fac/cross_fac/esrcdtc/researchandtraining/ad
 vancedtraining/modernr
CATEGORIES:
LAST-MODIFIED:20200513T142617Z
ORGANIZER;CN=Laura King:
END:VEVENT
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