Analysis of zero-inflated clustered count data: A marginalized model approach

Computational Statistics and Data Analysis

Volumn 55, Issue 1, 2011, Pages 824-837

  Lee, Keunbaik ^a   Joo, Yongsung ^b   Song, Joon Jin ^c   Harper, Dee Wood ^d  

^a LOUISIANA STATE UNIVERSITY HEALTH SCIENCES CENTER   (United States)

^b Dongguk University   (South Korea)

^c UNIVERSITY OF ARKANSAS   (United States)

^d LOYOLA UNIVERSITY   (United States)

Author keywords

Hurdle models; Quasi Newton; Random effects; ZIP models

Indexed keywords

COMPUTATIONAL METHODS; DATA HANDLING;

BINARY COMPONENTS; GENERALIZED ESTIMATING EQUATIONS; MODEL APPROACH; QUASI-NEWTON; QUASI-NEWTON ALGORITHM; RANDOM EFFECTS; REAL DATA SETS; ZIP MODEL;

RANDOM PROCESSES;

EID: 77958042128     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2010.07.005     Document Type: Article

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