Introductory Biostatistics For The Health Sciences: Modern Applications Including Bootstrap

• Emphasis on outliers is discussed by way of detection and treatment.
• Resampling statistics software is incorporated throughout.
• Motivating applications are presented in light of honest theory.
• Plentiful exercises are sprinkled throughout.

ROBERT FRIIS, PhD, is Professor and Chair of the Department of Health Science at California State University, Long Beach. He is senior author of Epidemiology for Public Health Practice and has published more than fifty papers related to epidemiology.

What is Statistics? How is it Applied in the Health Sciences?

Defining Populations and Selecting Samples.

Systematic Organization and Display of Data.

Summary Statistics.

Basic Probability.

The Normal Distribution.

Sampling Distributions for Means.

Estimating Population Means.

Tests of Hypotheses.

Inferences Regarding Proportions.

Categorical Data and Chi-Square Tests.

Correlation, Linear Regression, and Logistic Regression.

One-Way Analysis of Variance.

Nonparametric Methods.

Analysis of Survival Times.

Software Packages for Statistical Analysis.

Postscript.

Appendix A. Percentage Points, F-Distribution (α = 0.05).

Appendix B. Studentized Range Statistics.

Appendix C. Quantiles of the Wilcoxon Signed-Rank Test Statistic.

Appendix D. X² Distribution.

Appendix E. Table of the Standard Normal Distribution.

Appendix F. Percentage Points, Student's t Distribution.

Appendix G. Answers to Selected Exercises.

Index.