Bridging the gap between statistical analysis and decision making in public health research

Statistics in Medicine

Volumn 24, Issue 4, 2005, Pages 503-511

  Stangl, Dalene K ^a  

^a DUKE UNIVERSITY   (United States)

Author keywords

Bayesian methods; Decision analysis; Utilities

Indexed keywords

STREPTOKINASE; TISSUE PLASMINOGEN ACTIVATOR;

ARTICLE; BAYES THEOREM; CLINICAL TRIAL; COMPARATIVE STUDY; DRUG INDICATION; HEALTH CARE DELIVERY; HEALTH CARE POLICY; HEALTH CARE QUALITY; HEALTH STATISTICS; HEART INFARCTION; HUMAN; HYPOTHESIS; MAJOR CLINICAL STUDY; MEDICAL DECISION MAKING; MEDICAL RESEARCH; OUTCOMES RESEARCH; PREDICTION; PROBABILITY; QUANTITATIVE ANALYSIS; RISK ASSESSMENT; STATISTICAL ANALYSIS; SURVIVAL RATE;

BAYES THEOREM; CLINICAL TRIALS; DATA INTERPRETATION, STATISTICAL; DECISION MAKING; HEALTH PERSONNEL; HEALTH POLICY; HEALTH SERVICES RESEARCH; HUMANS; MYOCARDIAL INFARCTION; QUALITY OF HEALTH CARE; STATISTICS; STREPTOKINASE; TISSUE PLASMINOGEN ACTIVATOR;

EID: 13844266619     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2031     Document Type: Article

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