Allowing for uncertainty due to missing data in meta-analysis - Part 2: Hierarchical models

Statistics in Medicine

Volumn 27, Issue 5, 2008, Pages 728-745

  White, Ian R ^a   Welton, Nicky J ^b   Wood, Angela M ^a   Ades, A E ^b   Higgins, Julian P T ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Bayesian methods; Hierarchical models; Informative priors; Meta analysis; Missing data

Indexed keywords

PSYCHOTROPIC AGENT;

ALCOHOL CONSUMPTION; ARTICLE; AUTOMUTILATION; CLINICAL TRIAL; CORRELATION ANALYSIS; DATA ANALYSIS; DRINKING BEHAVIOR; HUMAN; INFORMATION PROCESSING; MEDICAL RESEARCH; MONTE CARLO METHOD; OUTCOME ASSESSMENT; PROBABILITY; PSYCHOSOCIAL CARE; STATISTICAL MODEL; TREATMENT FAILURE; TREATMENT OUTCOME; UNCERTAINTY;

BAYES THEOREM; BIAS (EPIDEMIOLOGY); META-ANALYSIS AS TOPIC; MODELS, STATISTICAL; MONTE CARLO METHOD; RANDOMIZED CONTROLLED TRIALS AS TOPIC; TREATMENT OUTCOME; UNCERTAINTY;

EID: 39549086989     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3007     Document Type: Article

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