Thank very much you for your comments. If you have any suggestions on any commands that would work, I'd be very grateful.
Thanks
Jane


--On 11 August 2003 17:28 +0200 Peter Dalgaard BSA <[EMAIL PROTECTED]> wrote:

Martin Maechler <[EMAIL PROTECTED]> writes:

>>>>> "jane" == jane murray <[EMAIL PROTECTED]>
>>>>>     on Wed, 06 Aug 2003 09:16:48 +0100 writes:

    jane> Hi Can anyone help with the technique of obtaining
    jane> leverages from a conditional logistic regression
    jane> model?  The code lm.influence does not seem to work
    jane> for this data.  Thanks Jane Murray

But the generic  influence()  function {new in 1.7.0, from original
code of John Fox} has an S3 method, influence.glm(), that should work.
If not, that might indicate a bug we'd be interested to hear about.

I suspect you overlooked the "conditional" there. I.e. this is for models fitted using clogit() from survival (and I think it has a competitor, but I forgot where..) Since this works by hijacking coxph it probably cannot work to apply GLM methods on the result.

--
   O__  ---- Peter Dalgaard             Blegdamsvej 3
  c/ /'_ --- Dept. of Biostatistics     2200 Cph. N
 (*) \(*) -- University of Copenhagen   Denmark      Ph: (+45) 35327918
~~~~~~~~~~ - ([EMAIL PROTECTED])             FAX: (+45) 35327907

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