[R-sig-ME] logistic model with exponential decay
s.ruiter at maw.ru.nl
Sun Dec 21 21:02:30 CET 2008
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
Department of Sociology / ICS
Radboud University Nijmegen
P.O. Box 9104
6500 HE Nijmegen
Phone: + 31 24 361 2272
Fax: + 31 24 361 2399
Thomas van Aquinostraat 4.01.71
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?
> 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?
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