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Essentials of Biostatistics in Public Health 3rd Edition
Essentials of Biostatistics in Public Health Third Edition (Essential Public Health):
Essentials of Biostatistics in Public Health, Third Edition provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistics applications in the field of public health. Many examples are drawn directly from the author’s remarkable clinical experiences with the renowned Framingham Heart Study, making this text practical, interesting, and accessible for those with little mathematical background. The examples are real, relevant, and manageable in size so that students can easily focus on applications rather than become overwhelmed by computations. The Third Edition offers a new chapter on data visualization and interpretation including guidance on reporting statistical results in tables, figures and text. Examples of well-organized, detailed and appropriately formatted tables and figures are provided along with samples of how best to interpret them. Examples of poorly organized tables and figures are also included to illustrate common misinterpretations of results, due in part to lack of clarity in presentation. The text comes packaged with an access code card that gives your students access to an online workbook for statistical computing using Microsoft Excel. The online workbook is available in both Mac and PC versions. Updates to the Third Edition: • New chapter on data visualization and interpretation • New “When and Why” sections in each chapter include timely examples of important medical and public health applications of biostatistical techniques to help students connect the technical aspects of how specific analyses are conducted to real and relevant applications. New suggestions for instructors to facilitate in-class discussions around these applications and their interpretation are included in the instructor resources • New examples from widely publicized clinical trials and from relevant and timely studies added throughout. • New integrative exercises included in the instructor resources that allow students to practice biostatistical analysis with real data using Excel. • New link to a publicly available, longitudinal dataset containing data collected in the Framingham Heart Study
Additional ISBNs:
∗ eText ISBN: 128414285X, 978-1284142853, 9781284142853
- See additional information on the Amazon.
More Details
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
Lisa M. Sullivan
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