[R] Strategy for building a robust rare event logistic model - Questions.

[Bert Gunter]

As this does not appear to be an R question. I suggest you post on a
statistics list, like stats.stackexchange.com instead.

-- Bert

On Sun, Sep 30, 2012 at 8:22 AM, Mehul Makwana <makwana79 at yahoo.com> wrote:
> Hello,
>
> I am reaching out for a problem I have seem to hit wall on. I am trying to build a rare event model:- Default event occurred in NY/NJ area.
>
> Some key statistics: 138 default aka 4bp (.04%).
>
> Obviously my logistic and robust logistic models are failing Hosmer GOF tests and so I am thinking about bootstrapping data. I found a great read on R-help, but I was wondering if someone can help me with a more practical direction before I head into a road I have traveled less.
>
> https://stat.ethz.ch/pipermail/r-help/2008-July/168623.html
>
>
>
> Any feedback on strategy would be really.
>
> Mehul
>
> Above all else, never think you're not good enough. - Anthony Trollope, 1815 - 1882
>         [[alternative HTML version deleted]]
>
>
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>



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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