Common Statistical Methods for Clinical Research [printed text] / Glenn A. Walker, Author . - Cary, NC [United States] : SAS Institute, 2002 . - 488 p. ISBN : 978-1-59047-040-4 : 62,95 $ Languages : English ( eng)
| Descriptors: |
Classification
WA 950 Theory or methods of medical statistics
Indexation
SAS ; Statistics
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| Abstract: |
This newly updated second edition 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 analysts. 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 edition includes new 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. This title is also available in digital format. |
| Contents note: |
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 / Chapter 6-One-Way ANOVA / Chapter 7-Two-Way ANOVA / 8-Repeated Measures Analysis / Chapter 9-The Crossover Design / Chapter 10-Linear Regression /
Chapter 11-Analysis of Covariance / Chapter 12-The Wilcoxon Signed-Rank Test / Chapter 13-The Wilcoxon Rank-Sum Test / Chapter 14-The Kruskal-Wallis Test / Chapter 15-The Binomial Test / Chapter 16-The Chi-Square Test / Chapter 17-Fisher's Exact Test / Chapter 18-McNemar's Test / Chapter 19-The Cochran-Mantel-Haenszel Test / Chapter 20-Logistic Regression /
Chapter 21-The Log-Rank Test / Chapter 22-The Cox Proportional / Chapter 23-Exercises / 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 |
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