The allocation problem in health care can be characterised as a mathematical programming problem but attempts to incorporate uncertainty in costs and effect have suffered from important limitations. A two stage stochastic mathematical programming formulation is developed and applied to a...

The allocation problem in health care can be characterised as a mathematical programming problem but attempts to incorporate uncertainty in costs and effect have suffered from important limitations. A two-stage stochastic mathematical programming formulation is developed and applied to a...

A two-stage stochastic mathematical programming formulation has been developed to optimally allocate resources within and between healthcare programmes when there is an exogenous budget and the parameters of the healthcare models are variable and uncertain. This formulation solves the optimal...

Background: The objective of a decision maker is to determine the optimal allocation of treatments across population groups and healthcare programmes given a fixed budget. If costs and benefits are known precisely, deterministic mathematical programming (MP) methods can be used to allocate...

The purpose of this research is to illustrate: i) the principles of what assessments are required when considering the need for additional evidence and the priority of proposed research; and ii) how these assessments might be informed by quantitative analysis based on standard methods of...

The general issue of balancing the value of evidence about the performance of a technology and the value of access to a technology can be seen as central to a number of policy questions. Establishing the key principles of what assessments are needed, as well as how they should be made, will...