A marginalized pattern-mixture model for longitudinal binary data when nonresponse depends on unobserved responses

Biostatistics

Volumn 8, Issue 2, 2007, Pages 297-305

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

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Binary data; Dropout; Longitudinal method; Marginal regression; Missing data; Nonresponse

Indexed keywords

CONTRACEPTIVE AGENT;

AMENORRHEA; ARTICLE; CHEMICALLY INDUCED DISORDER; CLINICAL TRIAL; CONTRACEPTION; FEMALE; HUMAN; LONGITUDINAL STUDY; METHODOLOGY; PATIENT; STATISTICAL ANALYSIS; STATISTICAL MODEL;

AMENORRHEA; CLINICAL TRIALS; CONTRACEPTION; CONTRACEPTIVE AGENTS, FEMALE; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; PATIENT DROPOUTS;

EID: 34147095388     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxl010     Document Type: Article

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