ABSTRACT

Adaptive design has become an important tool in modern pharmaceutical research and development. Compared to a classic trial design with static features, an adaptive design allows for the modification of the characteristics of ongoing trials based on cumulative information. Adaptive designs increase the probability of success, reduce costs and the t

chapter 1|18 pages

Introduction

chapter 2|32 pages

Classic Design

chapter 3|20 pages

Theory of Adaptive Design

chapter 4|30 pages

Method with Direct Combination of P-values

chapter 5|20 pages

Method with Inverse-Normal P-values

chapter 6|18 pages

Implementation of K-Stage Adaptive Designs

chapter 7|14 pages

Conditional Error Function Method

chapter 8|28 pages

Recursive Adaptive Design

chapter 9|22 pages

Sample-Size Re-Estimation Design

chapter 10|22 pages

Multiple-Endpoint Adaptive Design

chapter 11|14 pages

Drop-Loser and Add-Arm Design

chapter 12|20 pages

Biomarker-Adaptive Design

chapter 13|16 pages

Adaptive Treatment Switching and Crossover

chapter 14|16 pages

Response-Adaptive Allocation Design

chapter 15|16 pages

Adaptive Dose Finding Design

chapter 16|24 pages

Bayesian Adaptive Design

chapter 18|24 pages

Paradox - Debates in Adaptive Designs