ADVANCED MEDICAL STATISTICS
edited by Ying Lu (University of California, San Francisco, USA) & Ji-Qian Fang (Sun Yat-Sen University, Guangzhou, China)
Table of Contents (34k)
Preface (36k)
Chapter 1: History of Statistical Thinking in Medicine (137k)
This book presents new and powerful advanced statistical methods that have been used in modern medicine, drug development, and epidemiology. Some of these methods were initially developed for tackling medical problems.
All 29 chapters are self-contained. Each chapter represents the new development and future research topics for a medical or statistical branch. For the benefit of readers with different statistical background, each chapter follows a similar style: the explanation of medical challenges, statistical ideas and strategies, statistical methods and techniques, mathematical remarks and background and reference. All chapters are written by experts of the respective topics.
Contents:
- Statistical Methods in Biomedical Research
- Statistical Methods in
Pharmaceutical Research
- Statistical Methods in Epidemiology
- Advanced Statistical Theory and Methods
Readership: Biostatisticians, applied statisticians, medical researchers and
clinicians, biopharmaceutical researchers, public health epidemiologists, biometricians and applied mathematicians.
"Overall the book covers a wide variety of applications. Each method is presented in sufficient depth to allow the reader to understand when the method(s) can be used ... this book would be a useful resource for any practitioner in medical research."
| Statistical Methods in Medical Research |
| 1120pp |
Pub. date: Nov 2003 |
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