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Complete-separation-problem-resolution

4 messages · C. AMAL D. GLELE, Poe, John, James Uanhoro +1 more

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Hi, dear all.
Please, How do I solve  complete separation problem in binomial model built
with glmmTMB or glmer (or with any other mixed model builder)?
In advance, thanks foe your replies.
Kind regards,
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The short answer is a bayesian hierarchical model.  See this paper from
political analysis

http://www.carlislerainey.com/papers/separation.pdf

On Thu, Jul 26, 2018, 9:33 AM C. AMAL D. GLELE <altessedac2 at gmail.com>
wrote:

  
  
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Check out the blme package. You can specify priors for fixed effects; this
is one way of handling the complete separation problem.
For choice of prior, Greenland and Mansournia (
https://www.ncbi.nlm.nih.gov/pubmed/26011599) suggest using log-F(1, 1)
over other common suggestions like normal, or Jeffrey's or t-priors. But
blme provides a quick solution that limits you to normal or t.

On Thu, 26 Jul 2018 at 09:33, C. AMAL D. GLELE <altessedac2 at gmail.com>
wrote:

  
  
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See also

 http://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#penalizationhandling-complete-separation

http://bbolker.github.io/mixedmodels-misc/ecostats_chap.html#digression-complete-separation
On 2018-07-26 09:43 AM, John Poe wrote: