[R-sig-ME] Conditional logistic regression vs lmer

[Federico Calboli]

On 3 Mar 2010, at 22:23, David Duffy wrote:
> Was the study a matched case-control design, or is "match" the family or 
> some natural clustering variable? How many cases and controls for each 
> level of match?  (maybe this was in your earlier email.) If the strata are 
> small (eg 1:1), then I would be nervous about (tIgE.Resp|match) giving a 
> meaningful estimate, cf c.c ~ tIgE.Resp + (1|match)+ (1|Run) + (1|Box).

The study is a matched case/control, with matched 3 controls for each case. On top of that I have 4 independent cohorts, which I would see as random terms --though my example above does not include cohort because I had data for only one at that point.

> You might read over the intro to the paper by Liang, Qaqish and Zeger on 
> the GEE for binary data in JRSSB (?1990 or so), where they contrast the 
> different approaches to clustered data.  Basically, the (usual) GLMM fits
> a parametric model for the intercepts for each stratum, while the 
> CLR discards this information, and for a categorical covariate is "just" 
> a permutation test.


I'll look into it. Thanks!

F

--
Federico C. F. Calboli
Department of Epidemiology and Biostatistics
Imperial College, St. Mary's Campus
Norfolk Place, London W2 1PG

Tel +44 (0)20 75941602   Fax +44 (0)20 75943193

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