Essentials of Biostatistics in Public Health

Description

Cover Essentials of Biostatistics in Public Health Copyright 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