Chapman and Hall/CRC
Get Up to Speed on Many Types of Adaptive DesignsSince the publication of the first edition, there have been remarkable advances in the methodology and application of adaptive trials. Incorporating many of these new developments, Adaptive Design Theory and Implementation Using SAS and R, Second Edition offers a detailed framework to understand the
Introduction. Classic Design. Theory of Hypothesis-Based Adaptive Design. Method with Direct Combination of P-Values. Method with Inverse-Normal P-Values. Adaptive Non-Inferiority Design with Paired Binary Data. Trial Design and Analysis with Incomplete Paired Data. Implementation of N-Stage Adaptive Designs. Conditional Error Function Method and Conditional Power. Recursive Adaptive Design. Unblinded Sample-Size Re-Estimation Design. Blinded Sample Size Re-Estimation. Adaptive Design with Co-Primary Endpoint. Multiple-Endpoint Adaptive Design. Pick-the-Winners Design. The Add-Arms Design for Unimodal Response. Biomarker-Adaptive Design. Biomarker-Informed Adaptive Design. Survival Modeling and Adaptive Treatment Switching. Response-Adaptive Allocation Design. Bayecian Adaptive Dose Finding Design. Bayesian Phase I-II Adaptive Design. Adaptive Design for Biosimilarity Trial. Multi-Regional Adaptive Trial Design. Bayesian Adaptive Design. Planning, Execution, Analysis, and Reporting. Data Analysis of Adaptive Design. Debates in Adaptive Designs. SAS Adaptive Design Modules: SEQDESIGN Procedure. Appendices. Bibliography. Index.