[R-sig-ME] Question on random effects glm interpretation

[Emmanuel Curis]

Thanks for these answers.

After thinking a little bit, I still have a concern with the survival
approach.  What is in interest in the data is not really the time
before patients are infected (at least, as far as I understood the
practicionners problem), but the proportion of patients that are
infected at a given moment (and, at the end, does this proportion
change with some covariates, including period in the year). I'm not
clear how the survival model can give this information (but I'm not
familiar with survival analysis), but I thought it was more oriented
toward modeling time-to-event?

Also, going back to the original question, for my own understanding of
these models: is it correct to say that for a binomial GLMM to apply,
with patient as the (only) random effect, then for a given patient the
different Bernoulli variables must be independant, identically
distributed as in a usual logistic regression? Or is this hierarchical
approach too simplist?

Thanks anyway for these quick answers,

On Fri, Nov 13, 2015 at 10:59:29AM -0500, Ben Bolker wrote:
«   If you model the time until infection for each individual as
« Gamma-distributed, that will be more or less equivalent to a Gamma
« (parametric) survival model, with the big caveat that the GLMM framework
« is not good at handling censored data in general.
« 
«   I believe there is also a connection between discrete-time Cox
« proportional hazards models and binomial GLMMs with a complementary
« log-log link and fixed effect of time period ...
« 
«   Ben Bolker
« 
« On 15-11-13 08:41 AM, Emmanuel Curis wrote:
« > Dear Thierry,
« > 
« > Thanks for the hint. 
« > 
« > Just for curiosity, is there any case in which survival analysis will
« > be equivalent to the Markov model or the GLM(M) model? I remember having
« > read somewhere that there are links  between survival analysis and
« > logistic regression, but can't remember exactly which link for the
« > moment...
« > 
« > Best regards,
« > 
« > On Thu, Nov 12, 2015 at 09:59:18PM +0100, Thierry Onkelinx wrote:
« > « Dear Emmanuel,
« > « 
« > « Maybe a survival analysis is more appropriate for that kind of data.
« > « 
« > « Best regards,
« > « 
« > « ir. Thierry Onkelinx
« > « Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
« > « Forest
« > « team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
« > « Kliniekstraat 25
« > « 1070 Anderlecht
« > « Belgium

-- 
                                Emmanuel CURIS
                                emmanuel.curis at parisdescartes.fr

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