Common Statistical Methods for Clinical Research with SAS Examples, 2nd Edition
By: Glenn Walker
Price: 62.95 USD
488 pages
ISBN: 978-1-59047-040-4
Publisher: SAS Press
Copyright Date: July 2002
Common Statistical Methods for Clinical Research with SAS Examples, Second Edition, written by Glenn Walker, provides clinical researchers with an invaluable aid for understanding the statistical methods cited most frequently in clinical protocols, statistical analysis plans, clinical and statistical reports, and medical journals. The text is written in a way that takes the non-statistician through each test using examples, yet substantive details are presented that benefit even the most experienced data analyst. Introductory chapters provide elementary statistical concepts as applied to clinical trials and an overview of statistical inference, including discussions about power, calculating sample size, p-values, and the logic behind hypothesis testing. The statistical methods discussed here represent a composite of methods most commonly used in the analysis of clinical research data. Numerous examples taken from clinical research show how to calculate statistical data both manually and using SAS. This revised edition includes sections about crossover designs and multiple comparison methods, a discussion of interim analyses, 50% more examples, and reader exercises. Extensions of methods previously presented only in their most elementary form are shown in new examples.
Chapter 1-Introduction & Basics
1.1 Statistics - the Field
1.2 Probability Distributions
1.3 Study Design Features
1.4 Descriptive Statistics
1.5 Inferential Statistics
1.6 Summary
Chapter 2-Topics in Hypothesis Testing
Significance Levels
Power
One-Tailed and Two-Tailed Tests
p-Values
Sample Size Determination
Multiple Testing
Summary
Chapter 3-The Data Set TRIAL
Introduction
Data Collection
Creating the Data Set TRIAL
Statistical Summarization
Summary
Chapter 4-The One-Sample t-Test
Introduction
Synopsis
Examples
Details & Notes
Chapter 5-The Two-Sample t-Test
Introduction
Synopsis
Examples
Details & Notes
Chapter 6-One-Way ANOVA
Introduction
Synopsis
Examples
Details & Notes
Chapter 7-Two-Way ANOVA
Introduction
Synopsis
Examples
Details & Notes
Chapter 8-Repeated Measures Analysis
Introduction
Synopsis
Examples
Details & Notes
Chapter 9-The Crossover Design
Introduction
Synopsis
Examples
Details & Notes
Chapter 10-Linear Regression
Introduction
Synopsis
Examples
Details & Notes
Chapter 11-Analysis of Covariance
Introduction
Synopsis
Examples
Details & Notes
Chapter 12-The Wilcoxon Signed-Rank Test
Introduction
Synopsis
Examples
Details & Notes
Chapter 13-The Wilcoxon Rank-Sum Test
Introduction
Synopsis
Examples
Details & Notes
Chapter 14-The Kruskal-Wallis Test
Introduction
Synopsis
Examples
Details & Notes
Chapter 15-The Binomial Test
Introduction
Synopsis
Examples
Details & Notes
Chapter 16-The Chi-Square Test
Introduction
Synopsis
Examples
Details & Notes
Chapter 17-Fisher's Exact Test
Introduction
Synopsis
Examples
Details & Notes
Chapter 18-McNemar's Test
Introduction
Synopsis
Examples
Details & Notes
Chapter 19-The Cochran-Mantel-Haenszel Test
Introduction
Synopsis
Examples
Details & Notes
Chapter 20-Logistic Regression
Introduction
Synopsis
Examples
Details & Notes
Chapter 21-The Log-Rank Test
Introduction
Synopsis
Examples
Details & Notes
Chapter 22-The Cox Proportional Hazards Model
Introduction
Synopsis
Examples
Details & Notes
Chapter 23-Exercises
Introduction
Exercises
Appropriateness of the Methods
Summary
Appendix A - Probability Tables
Probabilities of the Standard Normal Distribution
Critical Values of the Student
Critical Values of the Chi-Square Distribution
Appendix B - Common Distributions Used in Statistical Inference
Notation
Properties
Results
Distributional Shapes
Appendix C - Basic ANOVA Concepts
Within- vs. Between-Group Variation
Noise Reduction by Blocking
Least Squares Mean (LS-mean)
Appendix D - SS Types I, II, III, and IV Methods for an Unbalanced Two-Way Layout
SS Types Computed by SAS
How to Determine the Hypothesis Tested
Empty Cells
More Than Two Treatment Groups
Summary
Appendix E - Multiple Comparison Methods
Multiple Comparisons of Means
Multiple Comparisons of Binomial Proportions
Summary
Appendix F - Data Transformations
Introduction
The Log Transformation
Appendix G - SAS Code for Exercises in Chapter 23
References
Index
Glenn Walker
Glenn A. Walker has been providing statistical consulting services to the biopharmaceutical industry since 1977. He received his Ph.D. in statistics from the University of Florida where, as a graduate student, he taught courses in statistics and how to use SAS software. He has worked as a consultant to numerous pharmaceutical and biotechnology companies in study design, data analysis, and statistical programming in the field of clinical trials. In this book, Glenn draws on his extensive experience with the statistical handling of data from various types of medical conditions and treatments to illustrate commonly used statistical methods.
