[R-sig-ME] Mixed model vs GEE

[Muldoon, Ariel]

I remember enjoying the discussion of marginal vs conditional inference in Stroup's book Generalized Linear Mixed Models: Modern Concepts, Methods and Applications . It is not in front of me at the moment but I think this is covered chapter 3. He specifically discusses how the issue affects non-normal GLMM's and I believe he first shows an example of the non-issue in (normal) LMM vs GEE and then goes on to a binomial example. There is also a brief overview of when/why we might want conditional vs marginal inference (he seems to come down hard on the side of conditional).
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From: R-sig-mixed-models <r-sig-mixed-models-bounces using r-project.org> on behalf of Phillip Alday <me using phillipalday.com>
Sent: Friday, November 5, 2021 6:22 AM
To: Ben Bolker <bbolker using gmail.com>; r-sig-mixed-models using r-project.org <r-sig-mixed-models using r-project.org>
Subject: Re: [R-sig-ME] Mixed model vs GEE

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Dimitris Rizopoulos covers this in his course slides:

https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.drizopoulos.com%2Fcourses%2FEMC%2FCE08.pdf&data=04%7C01%7Cariel.muldoon%40oregonstate.edu%7C38f85934acc948fe154d08d9a05f580f%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C637717154499841395%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=CqC3kwu%2FeyuX4n5n4kAD8ff69XKC2MWh%2BaWqjYUPwZo%3D&reserved=0

The slides might be a bit math heavy for end users, but big important
assumptions and intuitions are called out in clear language.



On 4/11/21 7:38 pm, Ben Bolker wrote:
>    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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