Books by Mark Chang

All the Essentials to Start Using Adaptive Designs in No TimeCompared to traditional clinical trial designs, adaptive designs often lead to increased success rates in drug development at reduced costs and time. Introductory Adaptive Trial Designs: A Practical Guide with R motivates newcomers to quickly and easily grasp the essence of adaptive designs as well as the foundations of adaptive design methods.The book reduces the mathematics to a minimum and makes the material as practical as possible. Instead of providing general, black-box commercial software packages, the author includes open-source R functions that enable readers to better understand the algorithms and customize the designs to meet their needs. Readers can run the simulations for all the examples and change the input parameters to see how each input parameter affects the simulation outcomes or design operating characteristics.Taking a learning-by-doing approach, this tutorial-style book guides readers on planning and executing various types of adaptive designs. It helps them develop the skills to begin using the designs immediately.

Helping you become a skillful "simulator," this book provides broad coverage of the drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and methods for carrying out computer simulations efficiently, covers both descriptive and pseudocode algorithms that provide the basis for implementing the simulation methods, and illustrates real-world problems through case studies. The author discusses many key topics, including game theory, adaptive design, molecular design, prescription drug marketing, biological pathway simulation, genetic programming, and pharmacokinetic modeling.

The author uses concrete examples to explain fundamental principles behind scientific research and analogies to arrive at a general principle or common notion. The scientific method is used to understand how and why things happen, make predictions, prevent mistakes, and solve problems.

The paradoxology of scientific inference refers to the study of the nature of scientific inference and evidence through controversies or, more precisely, paradoxes. This book analyzes paradoxes from many different perspectives, such as statistics, mathematics, philosophy, science, and artificial intelligence. It compares various quantitative methods of evidence measures, including frequentist hypothesis testing, likelihood, and Bayesian methods. The text elaborates on recent findings to reach new and exciting conclusions. Other topics covered include probability, plausible reasoning, multiplicity, and inferences.

Covering even more adaptive designs, this second edition offers a detailed framework to understand the use of various adaptive design methods in clinical trials. It includes 12 new chapters, more analytical methods, 20 new SAS macros and R functions, and enhanced end-of-chapter problems that give readers hands-on practice addressing issues encountered in designing real-life adaptive trials. The book compares various methods using SAS and R simulations and explains how to analyze data in adaptive trials.

Helping you become a creative, logical thinker and skillful 'simulator,' this book provides coverage of the entire drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and methods needed to carry out computer simulations efficiently.

This book with CD-ROM introduces the Software ExpDesign Studio for classic and adaptive designs and computer simulations. The book includes step-by-step demos on creating various trial designs, using the automatic outputs to optimize the trial design, and monitoring a clinical trial in progress.