Hi Frank, As part of the R community, you will be aware that the vast majority of knowledge regarding statistics such as linear modelling is online for free. What makes this course worthy of payment compared to freely available information and/or well structured fee paying courses such as DataCamp?
All the best Graeme R Davidson PhD Data and Insight Analyst > On 23 Mar 2019, at 14:41, Harrell, Frank E <f.harr...@vumc.org> wrote: > > *Regression Modeling Strategies Short Course 2019* > > Frank E. Harrell, Jr., Ph.D., Professor > > Department of Biostatistics, Vanderbilt University School of Medicine > > fharrell.com @f2harrell > > > > *May 14-17, 2019* With Optional R Workshop May 13 > > 9:00am - 4:00pm > > Alumni Hall > > Vanderbilt University > > Nashville Tennessee USA > > > > See http://biostat.mc.vanderbilt.edu/RMSShortCourse2019 for details. > > > > The course includes statistical methodology, case studies, and use of > > the R rms package. Emphasis is on developing predictive models, model > validation, and quantifying predictive accuracy, plus many more topics > including navigating the choice of statistical models vs. machine learning. > > > > > > > > Frank E Harrell Jr Professor School of Medicine > > Department of Biostatistics Vanderbilt University > > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
