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An assessment of estimation methods for generalized linear mixed models with binary outcomes
Two main classes of methodology have been developed for addressing the analytical intractability of generalized linear mixed models (GLMMs): likelihood-based methods and Bayesian methods. Likelihood-based methods such as the penalized quasi-likelihood approach have been shown to produce biased estim...
में बचाया:
| मुख्य लेखकों: | , , |
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| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
2013
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3866838/ https://ncbi.nlm.nih.gov/pubmed/23839712 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5866 |
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