Uncertainty in the Bayesian meta-Analysis of normally distributed surrogate endpoints

Statistical Methods in Medical Research

Volumn 26, Issue 5, 2017, Pages 2287-2318

  Bujkiewicz, Sylwia ^a   Thompson, John R ^a   Spata, Enti ^a   Abrams, Keith R ^a  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

Bayesian statistics; bivariate meta Analysis; Meta Analysis; meta regression; surrogate endpoints

Indexed keywords

ACCURACY; ARTICLE; BAYES THEOREM; BIVARIATE ANALYSIS; CANCER SURVIVAL; DISABILITY; DISEASE FREE SURVIVAL; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MULTIPLE SCLEROSIS; NORMAL DISTRIBUTION; OVERALL SURVIVAL; PREDICTION; RELAPSE; SENSITIVITY ANALYSIS; STOMACH CANCER; UNCERTAINTY; VALIDATION STUDY; BIOASSAY; HUMAN; META ANALYSIS (TOPIC); PROCEDURES; RECURRENT DISEASE; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TREATMENT OUTCOME;

BIOLOGICAL MARKER;

BAYES THEOREM; BIOMARKERS; ENDPOINT DETERMINATION; HUMANS; META-ANALYSIS AS TOPIC; MODELS, STATISTICAL; RECURRENCE; TREATMENT OUTCOME; UNCERTAINTY;

EID: 85031686314     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280215597260     Document Type: Article

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