Success Probability Estimation with Applications to Clinical Trials (PDF)

Provides an introduction to the various statistical techniques
involved in medical research and drug development with a focus on
estimating the success probability of an experiment

Success Probability Estimation with Applications to Clinical
Trials details the use of success probability estimation in
both the planning and analyzing of clinical trials and in widely
used statistical tests.

Devoted to both statisticians and non-statisticians who are
involved in clinical trials, Part I of the book presents new
concepts related to success probability estimation and their
usefulness in clinical trials, and each section begins with a
non-technical explanation of the presented concepts. Part II delves
deeper into the techniques for success probability estimation and
features applications to both reproducibility probability
estimation and conservative sample size estimation.

Success Probability Estimation with Applications to Clinical
Trials:

* Addresses the theoretical and practical aspects of the
topic and introduces new and promising techniques in the
statistical and pharmaceutical industries

* Features practical solutions for problems that are often
encountered in clinical trials

* Includes success probability estimation for widely used
statistical tests, such as parametric and nonparametric models

* Focuses on experimental planning, specifically the sample size
of clinical trials using phase II results and data for planning
phase III trials

* Introduces statistical concepts related to success probability
estimation and their usefulness in clinical trials

Success Probability Estimation with Applications to Clinical
Trials is an ideal reference for statisticians and
biostatisticians in the pharmaceutical industry as well as
researchers and practitioners in medical centers who are actively
involved in health policy, clinical research, and the design and
evaluation of clinical trials.