[R-sig-ME] Mixed model vs GEE

Ben Bolker bbo|ker @end|ng |rom gm@||@com
Fri Nov 5 01:38:24 CET 2021

    I think that depends on what kind of questions you are asking ... ?? 
(If anyone wants to point to a great resource on marginal vs conditional 
models and when each type is appropriate, that would be great.  I know 
this distinction is discussed in Agresti's _Categorical Data Analysis_ 
book but I don't know if it goes into detail / gives examples about when 
one would want either one ...)

On 11/4/21 8:22 PM, Tahsin Ferdous wrote:
> Hi all,
> I am analyzing repeated measures data. Both the mixed model and generalized
> estimating equation are appropriate for my data. In this case, how can I
> decide that which one is better (LMM or GEE)? I know that GEE is a *marginal
> model*. It seeks to model a population average. Mixed-effect/Multilevel
> models are *subject-specific*, or *conditional*, models. Thanks.
> Best,
> Tahsin
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