A Bayesian adaptive dose selection procedure with an overdispersed count endpoint
A Bayesian adaptive dose selection procedure with an overdispersed count endpoint is a scholarly work by Mauro Gasparini, published in 2013 in ''Statistics in Medicine''. The main subjects of the publication include mathematics, design of experiments, temporary, Interim analysis, microarray, sample size determination, medicine, early stopping, placebo, clinical trial, Adaptive design, therapeutic index, statistics, selection (genetic algorithm), computer science, and Bayesian probability. The authors evaluate the operating characteristics of the procedure via simulations and present the results for several scenarios, comparing the performance of the proposed procedure to those of the non‐adaptive design.