An analytic method for the placebo-based pattern-mixture model

Statistics in Medicine

Volumn 33, Issue 7, 2014, Pages 1134-1145

  Lu, Kaifeng ^a  

^a Forest Laboratories   (United States)

Author keywords

Identifying restriction; Longitudinal data; Missing not at random; Multiple imputation; Posterior simulation; Sensitivity analysis

Indexed keywords

DRUG; PLACEBO;

ARTICLE; DATA ANALYSIS; DRUG WITHDRAWAL; HUMAN; LONGITUDINAL STUDY; MAJOR DEPRESSION; PLACEBO BASED PATTERN MIXTURE MODEL; RANDOMIZATION; RANDOMIZED CONTROLLED TRIAL (TOPIC); SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL; TREATMENT OUTCOME; UNSPECIFIED SIDE EFFECT; VARIANCE;

IDENTIFYING RESTRICTION; LONGITUDINAL DATA; MISSING NOT AT RANDOM; MULTIPLE IMPUTATION; POSTERIOR SIMULATION; SENSITIVITY ANALYSIS;

ANTIDEPRESSIVE AGENTS; COMPUTER SIMULATION; DEPRESSIVE DISORDER, MAJOR; HUMANS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; RANDOMIZED CONTROLLED TRIALS AS TOPIC; TREATMENT OUTCOME;

EID: 84896700857     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6008     Document Type: Article

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