A Contribution to Adaptive Randomization Designs in Clinical Trials

Adaptive randomization designs have become an alternative of pure randomization in clinical trials for many decades. The main purpose of this adaptations is to reduce the imbalance between patients (Experimental Units) who are assigned to different treatments. To achieve this aim, several approaches are addressed by researchers in biostatistics field. In this book, adaptive design definitions, types and methods are covered. Covariate adaptive randomization approaches such as, Zelen's, Pocock-Simon's, Imbalance Minimization, critical percentage and others methods are discussed in details as well as a comparative experiment to examine the performance of adaptive methods against pure randomization in term of imbalance at different sample sizes. So, this book will be highly beneficial for the researchers in statistics, biostatistics, biopharmaceutical statistics and related fields.