A Bayesian framework for intent-to-treat analysis with missing data

Biometrics

Volumn 54, Issue 1, 1998, Pages 265-278

  Kleinman, Ken P ^a   Ibrahim, Joseph G ^b   Laird, Nan M ^b  

^a UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^b DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

Bayesian; Intention to treat; Longitudinal; Missing data; Random effects

Indexed keywords

BAYESIAN NETWORKS; RANDOM PROCESSES;

AFTER-TREATMENT; BAYESIAN; BAYESIAN FRAMEWORKS; CLINICAL TRIAL; DROP-OUT; FOLLOW UP; INTENTION-TO-TREAT; LONGITUDINAL; MISSING DATA; RANDOM EFFECTS;

DROPS;

ANALYTIC METHOD; ARTICLE; BAYES THEOREM; DATA ANALYSIS; LONGITUDINAL STUDY; SAMPLING; TREATMENT PLANNING;

EID: 0031944141     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.2307/2534013     Document Type: Article

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