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

[David Winsemius]

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 using 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 using 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 using 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.