[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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>
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