A hybrid model for nonignorable dropout in longitudinal binary responses

Biometrics

Volumn 62, Issue 1, 2006, Pages 168-176

  Wilkins, Kenneth J ^a,b   Fitzmaurice, Garrett M ^a,c  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b EMMES CORPORATION   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Binary data; Dropout; Longitudinal method; Missing data; Nonignorable

Indexed keywords

BINARY DATA; BINARY RESPONSE; COVARIATES; DROPOUT; HYBRID MODEL; LONGITUDINAL METHODS; LONGITUDINAL STUDY; MARGINAL DISTRIBUTION; MISSING DATA; NONIGNORABLE;

BIOMETRICS;

CONTRACEPTIVE AGENT;

METHODOLOGY;

ARTICLE; CALCULATION; HYBRID; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MEDICAL RESEARCH;

EID: 33645051192     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2005.00402.x     Document Type: Article

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