[R] Regression Modeling Strategies and the R rms Package Short Course 2019

[Harrell, Frank E]

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


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From: Graeme Davidson <graeme.r.davidson using gmail.com>
Sent: Sunday, March 24, 2019 04:42
To: Harrell, Frank E
Cc: r-help using 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 using vumc.org> wrote:
>
> *Regression Modeling Strategies Short Course 2019*
>
> Frank E. Harrell, Jr., Ph.D., Professor
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> Department of Biostatistics, Vanderbilt University School of Medicine
>
> fharrell.com     @f2harrell
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>
>
> *May 14-17, 2019* With Optional R Workshop May 13
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> 9:00am - 4:00pm
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> Alumni Hall
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> Vanderbilt University
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> Nashville Tennessee USA
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>
>
> 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.
>
>
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> 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.
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>
>
>
>
>
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> Frank E Harrell Jr         Professor         School of Medicine
>
>    Department of Biostatistics         Vanderbilt University
>
>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.

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