Full Description
Principles of Biostatistics, Third Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real data to bring the material to life. Thoroughly revised and updated, this third edition includes a new chapter introducing the basic principles of Study Design, as well as new sections on sample size calculations for two-sample tests on means and proportions, the Kruskal-Wallis test, and the Cox proportional hazards model.
Key Features:
Includes a new chapter on the basic principles of study design
Additional review exercises have been added to each chapter
Datasets and Stata and R code are available on the book's website
The book is divided into three parts. The first five chapters deal with collections of numbers and ways in which to summarize, explore, and explain them. The next two chapters focus on probability and introduce the tools needed for the subsequent investigation of uncertainty. It is only in the eighth chapter and thereafter that the authors distinguish between populations and samples and begin to investigate the inherent variability introduced by sampling, thus progressing to inference. Postponing the slightly more difficult concepts until a solid foundation has been established makes it easier for the reader to comprehend them.
Contents
1. Introduction Part I Variability 2. Descriptive Statistics 3. Rates and Standardization 4. Life Tables Part II Probability 5. Probability 6. Screening and Diagnostic Tests 7. Theoretical Probability Distributions 8. Sampling Distribution of the Mean Part III Inference 9. Confidence Intervals 10. Hypothesis Testing 11. Comparison of Two Means 12. Analysis of Variance 13. Nonparametric Methods 14. Inference on Proportions 15. Contingency Tables 16. Correlation 17. Simple Linear Regression 18. Multiple Linear Regression 19. Logistic Regression 20. Survival Analysis 21. Sampling Theory 22. Study Design Bibliography Glossary Statistical Tables Index
