I'm new to R and to validation of logistic regression models via bootstrapping. I see that there are various approaches to bootstrapping, and I am wondering (1) which approach would be best for internal validation of predictive discrimination, (2) are there any good resources that could be recommended to explain the optimal approach, and (3) what packages in R should I use to achieve this approach. Many thanks for the input. Alison Van Dyke MD/PhD Candidate, Class of 2011 Cancer Biology Wayne State University [EMAIL PROTECTED]
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