Manual for forwsim R library
نویسنده
چکیده
We propose drug screening designs based on a Bayesian decision theoretic approach, motivated by screening designs for phase II studies. The setup is as follows. At any point in time there are several treatments that may potentially be useful to fight some disease. For each treatment we wish to performa a small-scale study, typically phase II, to establish whether it’s promising enough to deserve further study. That is, we recruit a relatively small number of patients in the study and then decide whether to recommend the treatment for a phase III study or to discard it. The goal is then to find a sequential design that maximizes some expected utility. This utility can consider benefits and costs of the small-scale experiment at hand only or incorporate benefits of costs of performing a larger-scale study when a treatment is recommended. Although the proposed methodology applies to many probability models and virtually any utility function, the current implementation accepts only 1 group binomial data and offers a reasonable selection of utility functions. In Section 2 we present a summary of our methodology and section 3 contains an example of how to use the library to find the optimal design of a trial.
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تاریخ انتشار 2006