[R] Logistic Regression in R (SAS -like output)

[Frank Harrell]

Note that stepwise variale selection based on AIC has all the problems 
of stepwise variable selection based on P-values.  AIC is just a 
restatement of the P-Value.

Frank

Frank E Harrell Jr   Professor and Chairman        School of Medicine
                      Department of Biostatistics   Vanderbilt University

On Mon, 9 Aug 2010, Gabor Grothendieck wrote:

> On Mon, Aug 9, 2010 at 6:43 AM, Harsh <singhalblr at gmail.com> wrote:
>> Hello useRs,
>>
>> I have a problem at hand which I'd think is fairly common amongst
>> groups were R is being adopted for Analytics in place of SAS.
>> Users would like to obtain results for logistic regression in R that
>> they have become accustomed to in SAS.
>>
>> Towards this end, I was able to propose the Design package in R which
>> contains many functions to extract the various metrics that SAS
>> reports.
>>
>> If you have suggestions pertaining to other packages, or sample code
>> that replicates some of the SAS outputs for logistic regression, I
>> would be glad to hear of them.
>>
>> Some of the requirements are:
>> - Stepwise variable selection for logistic regression
>> - Choose base level for factor variables
>> - The Hosmer-Lemeshow statistic
>> - concordant and discordant
>> - Tau C statistic
>>
>
> For stepwise logistic regression using AIC see:
>
> library(MASS)
> ?stepAIC
>
> For specifying reference level:
>
> ?relevel
>
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