Estimating the Expected Value of Sample Information Using the Probabilistic Sensitivity Analysis Sample: A Fast, Nonparametric Regression-Based Method

Medical Decision Making

Volumn 35, Issue 5, 2015, Pages 570-583

  Strong, Mark ^a   Oakley, Jeremy E ^b   Brennan, Alan ^a   Breeze, Penny ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Bayesian decision theory; computational methods; economic evaluation model; expected value of sample information; generalized additive model.; Monte Carlo methods; nonparametric regression

Indexed keywords

BAYES THEOREM; DECISION SUPPORT SYSTEM; DECISION TREE; HUMAN; MONTE CARLO METHOD; NONPARAMETRIC TEST; PROBABILITY; REGRESSION ANALYSIS;

BAYES THEOREM; DECISION SUPPORT TECHNIQUES; DECISION TREES; HUMANS; MONTE CARLO METHOD; PROBABILITY; REGRESSION ANALYSIS; STATISTICS, NONPARAMETRIC;

EID: 84931401285     PISSN: 0272989X     EISSN: 1552681X     Source Type: Journal    
DOI: 10.1177/0272989X15575286     Document Type: Article

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