Statistics With Applications to the Biological and Health Sciences

by Schork, M. Anthony; Remington, Richard D.

• ISBN13: 9780130223272
• ISBN10: 0130223271
• Edition: 3rd
• Format: Hardcover w/Disk
• Copyright: 2000-01-01
• Publisher: Addison Wesley

Summary

THE definitive basic book on applied biostatistical methods. Particularly suited for readers with limited mathematical background, it makes biostatistics accessible by using thorough, intuitive explanations (often laced with humor and described with an appeal to common sense logical notions), and by focusing on selected statistical methods and procedures applicable to the biological, biomedical, and health sciences. It discusses the concepts of the method, the rationale of the method, when to use the method, and how to interpret the results. The computations (while included) are not the focus of the presentation. Several larger examples are used repeatedly (from chapter to chapter) to demonstrate how investigators develop and carry out a study by moving from problem statement, to data accrual, to computation of descriptive statistics, to estimation and hypothesis testing, including univariate, bivariate and finally multivariable procedures for both discrete and continuous variables. The book is not tied to any particular computer package (e.g., SAS, Systat, BMDP), however manyprototype computerized outputs of statistical analyses are illustrated and discussedin detail , with guidelines for reading and interpreting results. Descriptive Statistics. Probability. Populations, Samples, and Inference. Some Important Distributions. Estimation. Hypothesis Testing. Frequency Data. The Analysis of Variance. Simple Linear Regression and Correlation. Multiple Regression. Logistic Regression. Repeated Measures and Longitudinal Studies. Distribution-Free and Nonparametric Methods. Demography and Vital Statistics. For anyone involved in the biological, biomedical, or health sciences.

Table of Contents

1. General Introduction to Biostatistics.
2. Descriptive Statistics.
3. Probability.
4. Populations, Samples, and Inference.
5. Some Important Distributions.
6. Estimation.
7. Hypothesis Testing.
8. Frequency Data.
9. The Analysis of Variance.
10. Simple Linear Regression and Correlation.
11. Multiple Regression.
12. Model Construction, Diagnostics, and the Logistic Model.
13. Longitudinal Data Analysis.
14. Distribution-Free and Nonparametric Methods.
15. Demography and Vital Statistics.
Appendix A: Statistical Tables.
Appendix B: Information About the Harvest Trial.
Appendix C: Diagnostics for Illustration in Chapter 12.
References.
Index.