[R-sig-ME] logistic model with exponential decay

[Stijn Ruiter]

Hi,
I have official judicial data on criminal offending (dichotomous 
dependent variable=conviction(=Y)) of all (adult) children of fathers 
who differ with respect to their level of criminal behavior. These data 
were registered on a yearly basis. So, I am able to follow people over 
the course of their lives and model whether they get convicted. I intend 
to estimate a discrete-time logit model on a person-year file. Of 
course, because children are nested within their fathers, I need to take 
that into account. Furthermore, many subjects get convicted more than 
once during their lives, so I need to estimate a repeated events model.
I have several time-constant variables (e.g., gender) and several 
time-varying variables (e.g., number of years since father committed a 
crime(=T)). I would like to estimate something like this:

logit(Y) ~ alpha + beta1*GENDER + exp(-T/beta2) + ... + error term for nesting within fathers + error term for nesting within subject


Stijn


-- 
Best regards,

Stijn Ruiter
Department of Sociology / ICS
Radboud University Nijmegen
P.O. Box 9104
6500 HE Nijmegen
Netherlands

Phone: + 31 24 361 2272
Fax:   + 31 24 361 2399

Visiting address:
Thomas van Aquinostraat 4.01.71
Nijmegen

website: http://oase.uci.ru.nl/~sruiter



Douglas Bates schreef:
> On Sun, Dec 21, 2008 at 4:00 AM, Stijn Ruiter <s.ruiter at maw.ru.nl> wrote:
>   
>> Hi all,
>> Frederik is right. Do you think such a model can be estimated using nlmer?
>>     
>
>   
>> How?
>>     
>
> We would need more detail about the data and the model to be able to answer.
>
> Is the response on a continuous scale (i.e. not binary or a count)?
>
> What are the covariates?
>
> What is the model for the mean response?
>
> How many random effects would be defined and how would they enter the
> model for the mean response?
>