period one treatment adoption is an irreversible act with future, but uncertain, consequences. New information, both … future treatment options if resistant viral strains develop. On the other hand, postponing the introduction of HAART may … resistance effect has no effect on leaves the optimal treatment decision as far as it is high enough. Le bien-fondé d …

A micro decision-making utility model under uncertainty is presented as a complementary foundation for macro … random output which is a function of the input variable called "treatment" consisting of such elements as social distance …, washing hands, wearing a face mask, and others. The decision maker selects a level of treatment that maximizes her …

Becker and Murphy, but incorporates uncertainty. We model uncertainty through the Wiener stochastic process. This process …

Health fluctuations render the outcome of any treatment switch uncertain, so that decision makers might have to wait … for more information before optimally switching treatments. This paper sets up a stochastic model that provides an optimal … rule for the timing of treatment switch. The results of the model were then tested empirically with patient-based data on …

that the firm may start the regulatory process earlier if regulatory approval is valid long enough or if uncertainty is … longue ou si l'incertitude est assez élevée; autrement elle le retarde. Ces décisions dépendent aussi de la durée de l …

change and to explain how these estimates are built in order to identify the main sources of uncertainty and approximation … affecting them. Second, the paper discusses how this uncertainty should influence policymaker?s decisions. A main conclusion of …: their irreversibility, and the risk that they are extreme.<P>Évaluer les impacts du changement climatique : Une revue de la …