Flexible random intercept models for binary outcomes using mixtures of normals

Computational Statistics and Data Analysis

Volumn 51, Issue 11, 2007, Pages 5220-5235

  Caffo, Brian ^a   An, Ming Wen ^a   Rohde, Charles ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Logit normal; Marginalized multilevel models; Probit normal

Indexed keywords

CONTROL NONLINEARITIES; MATHEMATICAL MODELS;

BINARY DATA; LINEAR MODELS; MARGINALIZED MULTILEVEL MODELS; PROBITS;

COMPUTATIONAL METHODS;

EID: 34247853298     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2006.09.031     Document Type: Article

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