BiMM tree: A decision tree method for modeling clustered and longitudinal binary outcomes

Clustered binary outcomes are frequently encountered in clinical research (e.g. longitudinal studies). Generalized linear mixed models (GLMMs) for clustered endpoints have challenges for some scenarios (e.g. data with multi-way interactions and nonlinear predictors unknown a priori). We develop an a...

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Udgivet i:Commun Stat Simul Comput
Main Authors: Speiser, Jaime Lynn, Wolf, Bethany J., Chung, Dongjun, Karvellas, Constantine J., Koch, David G., Durkalski, Valerie L.
Format: Artigo
Sprog:Inglês
Udgivet: 2018
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7202553/
https://ncbi.nlm.nih.gov/pubmed/32377032
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/03610918.2018.1490429
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