生物與醫護統計

The third edition continues in the spirit of the first edition, but has been updated to reflect someof the advances of the last 30 years. It includes revised and expanded discussions on many topicsthroughout the book. Major revisions include:
• The chapters on Data Presentation and Numerical Summary Measures from the second editionhave been streamlined and combined into a single chapter titled Descriptive Statistics.
• The chapter on Life Tables has been rewritten, and detailed calculations for the life table havebeen moved into the Further Applications section.
• The material on Screening and Diagnostic Tests – formerly contained within the Probabilitychapter – has been given its own chapter. This new chapter includes sections on likelihood ratiosand the concept of varying sensitivities.
• New sections on sample size calculations for two-sample tests on means and proportions, theKruskal-Wallis test, and the Cox proportional hazards model have been added to existing chapters.
• Concepts previously covered in a chapter titled Multiple 2x2 Tables have now been moved intothe Logistic Regression chapter.
• The chapter on Sampling Theory has been greatly expanded.
• A new chapter introducing the basic principles of Study Design has been added at the end of thetext.
• Datasets used in the text and those needed for selected review exercises are now available on thebook’s companion website at https://github.com/Principles-of-Biostatistics/3rd-Edition.
• The companion website also contains the Stata and R code used to produce the computer outputdisplayed in the text’s Further Applications sections, as well as introductory material describingthe use of both statistical packages.
• A glossary of definitions for important statistical terms has been added at the back of the book.
• As previously mentioned, mathematical notation and formulas used in the text have been includedin summary boxes at the end of each section for ease of reference.
• Additional review exercises have been included in each chapter.

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.

Marcello Pagano is Professor of Statistical Computing in the Department of Biostatistics at the Harvard School of Public Health. His research in biostatistics is on computer intensive inference and surveillance methods that involve screening methodologies, with their associated laboratory tests, and in obtaining more accurate testing results that use existing technologies.

Kimberlee Gauvreau is Associate Professor in the Department of Biostatistics and Associate Professor of Pediatrics at Harvard Medical School. Dr. Gauvreau’s research focuses on biostatistical issues arising in the field of pediatric cardiology. She also works on the development and validation of methods of adjustment for case mix complexity.

Heather Mattie is Lecturer on Biostatistics and the Co-Director Health Data Science Program at the Harvard School of Public Health.

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