Marginalized transition models for longitudinal binary data with ignorable and non-ignorable drop-out

Statistics in Medicine

Volumn 23, Issue 17, 2004, Pages 2673-2695

  Kurland, Brenda F ^a   Heagerty, Patrick J ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Likelihood; Longitudinal binary data; Marginalized model; Misspecification; Non ignorable missing data

Indexed keywords

HALOPERIDOL; PLACEBO; RISPERIDONE;

ARTICLE; CLINICAL STUDY; FEASIBILITY STUDY; HUMAN; LOGISTIC REGRESSION ANALYSIS; LONGITUDINAL STUDY; MATHEMATICAL COMPUTING; OUTCOMES RESEARCH; PROBABILITY; SAMPLE SIZE; SCHIZOPHRENIA; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; TREATMENT OUTCOME;

ANTIPSYCHOTIC AGENTS; COMPUTER SIMULATION; HALOPERIDOL; HUMANS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; PATIENT DROPOUTS; RANDOMIZED CONTROLLED TRIALS; RISPERIDONE; SCHIZOPHRENIA;

EID: 4444358330     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1850     Document Type: Article

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