Essentials of Biostatistics in Public Health 3rd Edition

Essentials of Biostatistics in Public Health 3rd Edition: 

Cover Page
Title Page
Copyright Page
Contents
Acknowledgments
Preface
Prologue
About the Author
Chapter 1 Introduction
1.1 What Is Biostatistics?
1.2 What Are the Issues?
1.3 Summary
Chapter 2 Study Designs
2.1 Vocabulary
2.2 Observational Study Designs
2.3 Randomized Study Designs
2.4 The Framingham Heart Study
2.5 More on Clinical Trials
2.6 Sample Size Implications
2.7 Summary
2.8 Practice Problems
Chapter 3 Quantifying the Extent of Disease
3.1 Prevalence
3.2 Incidence
3.3 Relationships Between Prevalence and Incidence
3.4 Comparing the Extent of Disease Between Groups
3.5 Summary
3.6 Practice Problems
Chapter 4 Summarizing Data Collected in the Sample
4.1 Dichotomous Variables
4.2 Ordinal and Categorical Variables
4.3 Continuous Variables
4.4 Summary
4.5 Practice Problems
Chapter 5 The Role of Probability
5.1 Sampling
5.2 Basic Concepts
5.3 Conditional Probability
5.4 Independence
5.5 Bayes’ Theorem
5.6 Probability Models
5.7 Summary
5.8 Practice Problems
Chapter 6 Confidence Interval Estimates
6.1 Introduction to Estimation
6.2 Confidence Intervals for One Sample, Continuous Outcome
6.3 Confidence Intervals for One Sample, Dichotomous Outcome
6.4 Confidence Intervals for Two Independent Samples, Continuous Outcome
6.5 Confidence Intervals for Matched Samples, Continuous Outcome
6.6 Confidence Intervals for Two Independent Samples, Dichotomous Outcome
6.7 Summary
6.8 Practice Problems
Chapter 7 Hypothesis Testing Procedures
7.1 Introduction to Hypothesis Testing
7.2 Tests with One Sample, Continuous Outcome
7.3 Tests with One Sample, Dichotomous Outcome
7.4 Tests with One Sample, Categorical and Ordinal Outcomes
7.5 Tests with Two Independent Samples, Continuous Outcome
7.6 Tests with Matched Samples, Continuous Outcome
7.7 Tests with Two Independent Samples, Dichotomous Outcome
7.8 Tests with More Than Two Independent Samples, Continuous Outcome
7.9 Tests for Two or More Independent Samples, Categorical and Ordinal Outcomes
7.10 Summary
7.11 Practice Problems
Chapter 8 Power and Sample Size Determination
8.1 Issues in Estimating Sample Size for Confidence Intervals Estimates
8.2 Issues in Estimating Sample Size for Hypothesis Testing
8.3 Summary
8.4 Practice Problems
Chapter 9 Multivariable Methods
9.1 Confounding and Effect Modification
9.2 The Cochran–Mantel–Haenszel Method
9.3 Introduction to Correlation and Regression Analysis
9.4 Multiple Linear Regression Analysis
9.5 Multiple Logistic Regression Analysis
9.6 Summary
9.7 Practice Problems
Chapter 10 Nonparametric Tests
10.1 Introduction to Nonparametric Testing
10.2 Tests with Two Independent Samples
10.3 Tests with Matched Samples
10.4 Tests with More Than Two Independent Samples
10.5 Summary
10.6 Practice Problems
Chapter 11 Survival Analysis
11.1 Introduction to Survival Data
11.2 Estimating the Survival Function
11.3 Comparing Survival Curves
11.4 Cox Proportional Hazards Regression Analysis
11.5 Extensions
11.6 Summary
11.7 Practice Problems
Chapter 12 Data Visualization
12.1 Design Principles
12.2 When and How to Use Text, Tables, and Figures
12.3 Presenting Data and Statistical Results in Tables
12.4 Presenting Data and Statistical Results in Figures
12.5 Summary
12.6 Practice Problems
Appendix
Glossary
Index

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