Harrell, Frank E
2019-Mar-23 14:41 UTC
[R] Regression Modeling Strategies and the R rms Package Short Course 2019
*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
Graeme Davidson
2019-Mar-24 09:42 UTC
[R] Regression Modeling Strategies and the R rms Package Short Course 2019
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.harrell at 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 at 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.
Harrell, Frank E
2019-Mar-24 14:16 UTC
[R] Regression Modeling Strategies and the R rms Package Short Course 2019
You'll need to see hundreds of past course evaluations to see why, but a
main reason is the learning environment we provide, with hours of discussion
among participants occuring during the 4-day course. This includes topics such
as how to collaborate with non-statisticians especially when explaining the
results of complex statistical models. We also have discussions during the
lunches in the dining hall next to the lecture room. Many of the topics I cover
are set by the participants during the week. And all of the course handouts are
freely available for everyone.
Frank
________________________________
Frank E Harrell Jr Professor School of Medicine
Department of Biostatistics Vanderbilt University
________________________________
From: Graeme Davidson <graeme.r.davidson at gmail.com>
Sent: Sunday, March 24, 2019 04:42
To: Harrell, Frank E
Cc: r-help at r-project.org
Subject: Re: [R] Regression Modeling Strategies and the R rms Package Short
Course 2019
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.harrell at 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
https://nam05.safelinks.protection.outlook.com/?url=http%3A%2F%2Fbiostat.mc.vanderbilt.edu%2FRMSShortCourse2019&data=02%7C01%7Cf.harrell%40vumc.org%7C933ae76953c84add589c08d6b03cfa6c%7Cef57503014244ed8b83c12c533d879ab%7C0%7C0%7C636890173287469754&sdata=8GcqD8no7%2FNJ2Ytw%2B0U7DwwKvs6flF2buPvuHc3ra%2Bc%3D&reserved=0
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 at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>
https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstat.ethz.ch%2Fmailman%2Flistinfo%2Fr-help&data=02%7C01%7Cf.harrell%40vumc.org%7C933ae76953c84add589c08d6b03cfa6c%7Cef57503014244ed8b83c12c533d879ab%7C0%7C0%7C636890173287469754&sdata=UTdWE%2BH9AAlL8XytaifKp7BdaLKYwK4zDzb%2B2TaCnRY%3D&reserved=0
> PLEASE do read the posting guide
https://nam05.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.R-project.org%2Fposting-guide.html&data=02%7C01%7Cf.harrell%40vumc.org%7C933ae76953c84add589c08d6b03cfa6c%7Cef57503014244ed8b83c12c533d879ab%7C0%7C0%7C636890173287469754&sdata=CyHkkgXrAkPTxSh87JUEbvg%2BwmV8LhqZYgYoMWgyzak%3D&reserved=0
> and provide commented, minimal, self-contained, reproducible code.
[[alternative HTML version deleted]]
David Winsemius
2019-Mar-24 16:06 UTC
[R] Regression Modeling Strategies and the R rms Package Short Course 2019
Hi Graeme; I took the course about ten years ago. I did so after getting a Masters in Epidemiology from the University of Washington and doing very well in all my stats courses and submitting my thesis work on solving regression problems with stratified sampling using bootstrap methods. So I think I probably had a much more solid grounding in regression methods than the average Datacamp customer. I found the course work and discussion very useful. I already had a copy of Harrell's RMS text and had read much of it before that class as well as applying several of the methods he illustrated. It covered topics of validity in inference and modeling of covariate functional relationships in much greater depth than I have ever seen in any of the online material I have reviewed in the last ten years. It was 4 days well spent and far cheaper than I could have gotten from a typical consultation. The typical online course work demonstrates the regression machinery but very rarely gets into the issues of modeling splines or penalized methods. Model comparison and assessment of validity is often given cursory treatment. I continue to see questions on CrossValidated.com and StackOverflow that demonstrate that the bulk of the self-learners or distance learners have so far failed to acquire the knowledge base that vould be acquired during Frank's course. I would advise someone who has taken a Datacamp course in regression methods to take Frank's course as the next step to being "statisitcally educated". -- David. On 3/24/19 2:42 AM, Graeme Davidson wrote:> 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.harrell at 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 at 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 at 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.