Meta-analysis for aggregated survival data with competing risks: a parametric approach using cumulative incidence functions

Research Synthesis Methods

Volumn 7, Issue 3, 2016, Pages 282-293

  Bonofiglio, Federico ^a,b   Beyersmann, Jan ^c   Schumacher, Martin ^a   Koller, Michael ^d   Schwarzer, Guido ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b UNIVERSITY OF FREIBURG   (Germany)

^c UNIVERSITY OF ULM   (Germany)

^d UNIVERSITY HOSPITAL BASEL   (Switzerland)

Author keywords

competing risks; cumulative incidence function; meta analysis; parametric hazard function; randomized controlled trial

Indexed keywords

ALGORITHM; BAYES THEOREM; CLINICAL TRIAL (TOPIC); COMPUTER LANGUAGE; COMPUTER SIMULATION; HUMAN; INCIDENCE; INFORMATION PROCESSING; META ANALYSIS (TOPIC); METHODOLOGY; PROBABILITY; PROPORTIONAL HAZARDS MODEL; REPRODUCIBILITY; RISK FACTOR; STATISTICS; SURVIVAL ANALYSIS;

ALGORITHMS; BAYES THEOREM; CLINICAL TRIALS AS TOPIC; COMPUTER SIMULATION; DATA COLLECTION; HUMANS; INCIDENCE; META-ANALYSIS AS TOPIC; PROBABILITY; PROGRAMMING LANGUAGES; PROPORTIONAL HAZARDS MODELS; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; RISK FACTORS; STATISTICS AS TOPIC; SURVIVAL ANALYSIS;

EID: 84995745426     PISSN: None     EISSN: 17592887     Source Type: Journal    
DOI: 10.1002/jrsm.1165     Document Type: Article

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