Description
Book SynopsisIncludes a chapter on multiple linear regression in biomedical research, with sections containing the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.
Trade Review"…useful in a course in biostatistics." (
Journal of Statistical Computation and Simulation, September 2005)
"...a nice overview of statistical topics...an excellent book to have...highly recommend this book for students and researchers..." (Statistical Methods in Medical Research, Vol 13, 2004)
"…interesting and useful…I recommend it as an addition to your statistical library, and if you already own the first edition, it would be worthwhile to update it." (The American Statistician, Vol. 58, No. 2, May 2004)
Table of ContentsDedication v
Preface to the 1987 Edition xvii
Preface to the 2002 Edition xxi
Acknowledgment xxiii
1 Introduction 1
2 Descriptive Statistics 9
3 Basic Probability Concepts 49
4 Further Aspects of Probability 79
5 Confidence Intervals and Hypothesis Testing: General Considerations and Applications 119
6 Comparison of Two Groups: t-Tests and Rank Tests Introduction 151
7 Comparison of Two Groups: Chi-Square and Related Procedures 217
8 Tests of Independence and Measures of Association for Two Random Variables 263
9 Least-Squares Regression Methods: Predicting One Variable from Another 307
10 Comparing More than Two Groups Observations: Analysis of Variance for Comparing Groups 359
11 Comparing More than Two Groups of Observations: Rank Analysis of Variance for Group Comparisons 417
12 Comparing More than Two Groups of Observations: Chi-Square and Related Procedures 441
13 Special Topics in Analysis of Epidemiologic and Clinical Data: Studying Association between a Disease and a Characteristic 461
14 Estimation and Comparison of Survival Curves 509
15 Multiple Linear Regression Methods: Predicting One Variable from Two or More Other Variables 541
Appendix 623
Topic Index 673
