There has been an increasing interest in using expected value of information (EVI) theory in
medical decision making, to identify the need for further research to reduce uncertainty in …

Decision models are usually populated 1 parameter at a time, with 1 item of information
informing each parameter. Often, however, data may not be available on the parameters …

Partial expected value of perfect information (EVPI) calculations can quantify the value of
learning about particular subsets of uncertain parameters in decision models. Published …

Health economic decision-analytic models are used to estimate the expected net benefits of
competing decision options. The true values of the input parameters of such models are …

This article describes methods used to estimate parameters governing long-term survival, or
times to other events, for health economic models. Specifically, the focus is on methods that …

Actual implementation of probabilistic sensitivity analysis may lead to misleading or
improper conclusions when it is applied to groups of patients rather than individual patients …

Value of information (VoI) is a decision-theoretic approach to estimating the expected
benefits from collecting further information of different kinds, in scientific problems based on …

This article shows that the interpretation of the random-effects models used in meta-analysis
to summarize heterogeneous treatment effects can have a marked effect on the results from …

Alongside the development of meta-analysis as a tool for summarizing research literature,
there is renewed interest in broader forms of quantitative synthesis that are aimed at …

Increasingly complex models are being used to evaluate the cost‐effectiveness of medical
interventions. We describe the multiple sources of uncertainty that are relevant to such …