Within the context of the value of information approach we compare static versus quickest detection rules for research design in health care technology assessment (HTA). We show for a research design that the optimal decision rule cannot be correctly predicted at the start of the trial. We make...

In this paper we propose a solution to the Bayesian problem of a decision maker who chooses, while observing trial evidence, an optimal stopping time at which either to invest in a newly developed health care technology or abandon research. We show how optimal stopping boundaries can be computed...

This paper makes use of the distributional information contained in high-frequency data to test for the specification of the functional form of the volatility process within the class of stochastic volatility models.