Recently the National Institute for Clinical Excellence (NICE) updated its methods guidance for technology assessment. One aspect of the new guidance is to require the use of probabilistic sensitivity analysis with all cost-effectiveness models submitted to the Institute. The purpose of this paper is to place the NICE guidance on dealing with uncertainty into a broader context of the requirements for decision making; to explain the general approach that was taken in its development; and to address each of the issues which have been raised in the debate about the role of probabilistic sensitivity analysis in general. The most appropriate starting point for developing guidance is to establish what is required for decision making. On the basis...
Measurements are often an objective support for decision-making, in all fields, scientific, industri...
Objectives: Acceptability curves present the probability that an intervention is cost-effective acco...
Health economic modeling of novel technology at the early stages of a product lifecycle has been use...
Recently the National Institute for Clinical Excellence (NICE) updated its methods guidance for tech...
Recently the National Institute for Clinical Excellence (NICE) updated its methods guidance for tech...
Over the last decade or so, there have been many developments in methods to handle uncertainty in co...
OBJECTIVE: To assess the importance of considering decision uncertainty, the appropriateness of prob...
Probabilistic sensitivity analysis has previously been described for the special case of dichotomous...
ABSTRACTObjectiveTo assess the importance of considering decision uncertainty, the appropriateness o...
Health economic evaluations have recently built upon more advanced statistical decision-theoretic fo...
Decision-analytic models are frequently used to evaluate the relative costs and benefits of alternat...
Measures of decision sensitivity that have been applied to medical decision problems were examined. ...
When using a computer model to inform a decision, it is important to investigate any uncertainty in ...
Decision analytic models used for health technology assess-ment are subject to uncertainties. These ...
One of the key roles of the English National Institute for Health and Clinical Excellence (NICE) is ...
Measurements are often an objective support for decision-making, in all fields, scientific, industri...
Objectives: Acceptability curves present the probability that an intervention is cost-effective acco...
Health economic modeling of novel technology at the early stages of a product lifecycle has been use...
Recently the National Institute for Clinical Excellence (NICE) updated its methods guidance for tech...
Recently the National Institute for Clinical Excellence (NICE) updated its methods guidance for tech...
Over the last decade or so, there have been many developments in methods to handle uncertainty in co...
OBJECTIVE: To assess the importance of considering decision uncertainty, the appropriateness of prob...
Probabilistic sensitivity analysis has previously been described for the special case of dichotomous...
ABSTRACTObjectiveTo assess the importance of considering decision uncertainty, the appropriateness o...
Health economic evaluations have recently built upon more advanced statistical decision-theoretic fo...
Decision-analytic models are frequently used to evaluate the relative costs and benefits of alternat...
Measures of decision sensitivity that have been applied to medical decision problems were examined. ...
When using a computer model to inform a decision, it is important to investigate any uncertainty in ...
Decision analytic models used for health technology assess-ment are subject to uncertainties. These ...
One of the key roles of the English National Institute for Health and Clinical Excellence (NICE) is ...
Measurements are often an objective support for decision-making, in all fields, scientific, industri...
Objectives: Acceptability curves present the probability that an intervention is cost-effective acco...
Health economic modeling of novel technology at the early stages of a product lifecycle has been use...