[R-sig-ME] logistic regression for repeated measures
David.Duffy at qimr.edu.au
Tue Aug 11 00:19:52 CEST 2009
On Mon, 10 Aug 2009, Joel Bried wrote:
> I am working on paternity in a monogamous bird species and I
> am performing analyses to check whether the probability for a male to be
> cuckolded (binary variable) depends on his body size, the body size of
> his female, the degree of genetic relatedness to his female and nest
> density around his own nest (all continuous variables). Since I have
> data for two years (2002 and 2003), I think that the best solution is to
> conduct a logistic regression for repeated measures.
> However, I am a bit worried to use my entire data set. Indeed, a few
> individuals changed partner between 2002 and 2003 (they divorced or
> became widowed). For some other pairs, I have data for one year only
> (the birds did not attempt to breed the other year).
> Shall I use my whole data set?
Surely you will want to use all your data, given you don't have that many
pairs. Why not first look at GEE models, ignoring most of the
complications, and see if there are any interesting effects. Then
decide if more complex random effects models are worthwhile.
| David Duffy (MBBS PhD) ,-_|\
| email: davidD at qimr.edu.au ph: INT+61+7+3362-0217 fax: -0101 / *
| Epidemiology Unit, Queensland Institute of Medical Research \_,-._/
| 300 Herston Rd, Brisbane, Queensland 4029, Australia GPG 4D0B994A v
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