Analysis of longitudinal trials with protocol deviation: A framework for relevant, accessible assumptions, and inference via multiple imputation

Journal of Biopharmaceutical Statistics

Volumn 23, Issue 6, 2013, Pages 1352-1371

  Carpenter, James R ^a   Roger, James H ^a   Kenward, Michael G ^a  

^a LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

Author keywords

Clinical trial; De facto estimand; De jure estimand; Intention to treat; Missing data; Multiple imputation; Protocol deviation; Sensitivity analysis

Indexed keywords

BUDESONIDE; PLACEBO;

ARTICLE; ASTHMA; CLINICAL PROTOCOL; CONCEPTUAL FRAMEWORK; DRUG EFFICACY; DRUG SAFETY; HUMAN; LONGITUDINAL STUDY; MULTICENTER STUDY (TOPIC); NORMAL DISTRIBUTION; OUTCOME ASSESSMENT; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RANDOMIZED CONTROLLED TRIAL (TOPIC); SENSITIVITY ANALYSIS;

ALGORITHMS; ANTI-ASTHMATIC AGENTS; ASTHMA; BAYES THEOREM; CHRONIC DISEASE; DATA INTERPRETATION, STATISTICAL; HUMANS; LONGITUDINAL STUDIES; LUNG; MARKOV CHAINS; MEDICATION ADHERENCE; MODELS, STATISTICAL; MONTE CARLO METHOD; MULTIVARIATE ANALYSIS; PATIENT DROPOUTS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RESEARCH DESIGN; TIME FACTORS; TREATMENT OUTCOME;

EID: 84887005678     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543406.2013.834911     Document Type: Article

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