Published in
Elsevier, Chemometrics and Intelligent Laboratory Systems, (185), p. 122-134, 2019
DOI: 10.1016/j.chemolab.2019.01.002
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BiMM forest: A random forest method for modeling clustered and longitudinal binary outcomes
Journal article published in 2019 by
Jaime Lynn Speiser,
Bethany J. Wolf,
Dongjun Chung 
,
Constantine J. Karvellas ,
David G. Koch,
Valerie L. Durkalski
,
Constantine J. Karvellas ,
David G. Koch,
Valerie L. Durkalski
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