BiMM forest: A random forest method for modeling clustered and longitudinal binary outcomes

Clustered binary outcomes and datasets with many predictor variables are frequently encountered in clinical research (e.g. longitudinal studies). Generalized linear mixed models (GLMMs) typically employed for clustered endpoints have challenges for some scenarios, particularly for complex datasets w...

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Detaylı Bibliyografya
Yayımlandı:Chemometr Intell Lab Syst
Asıl Yazarlar: Speiser, Jaime Lynn, Wolf, Bethany J., Chung, Dongjun, Karvellas, Constantine J., Koch, David G., Durkalski, Valerie L.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2019
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6813794/
https://ncbi.nlm.nih.gov/pubmed/31656362
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chemolab.2019.01.002
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