Estimating the expected value of partial perfect information: A review of methods

European Journal of Health Economics

Volumn 9, Issue 3, 2008, Pages 251-259

  Coyle, Doug ^a   Oakley, Jeremy ^b  

^a UNIVERSITY OF OTTAWA   (Canada)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Economic evaluation; Uncertainty; Value of information

Indexed keywords

ENTACAPONE;

ARTICLE; CALCULATION; COST EFFECTIVENESS ANALYSIS; DECISION MAKING; DISEASE COURSE; DISEASE MODEL; DISEASE SEVERITY; DRUG COST; HEALTH CARE COST; HEALTH ECONOMICS; HOSPITAL CARE; HOSPITAL COST; HUMAN; MATHEMATICAL PARAMETERS; METHODOLOGY; MONTE CARLO METHOD; MORTALITY; NEUROLOGIC DISEASE; PARKINSON DISEASE; PRIORITY JOURNAL; PROBABILITY; STATISTICAL ANALYSIS; VALUE OF INFORMATION;

CANADA; DECISION MAKING; GREAT BRITAIN; HEALTH CARE COSTS; HUMANS; MARKOV CHAINS; MODELS, ECONOMIC; MONTE CARLO METHOD; ONTARIO; PARKINSON DISEASE; PILOT PROJECTS; STATISTICS AS TOPIC;

EID: 46949092616     PISSN: 16187598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10198-007-0069-y     Document Type: Article

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