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Essentials of Biostatistics in Public Health

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ISBN-10: 1449623948

ISBN-13: 9781449623944

Edition: 2nd 2012 (Revised)

Authors: Lisa Sullivan

List price: $150.95
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Description:

Essentials of Biostatistics in Public Health, Second 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 text is accompanied by an online workbook: Statistical Computing Using Microsoft Excel…    
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Book details

List price: $150.95
Edition: 2nd
Copyright year: 2012
Publisher: Jones & Bartlett Learning, LLC
Publication date: 4/7/2011
Binding: Mixed Media
Pages: 314
Size: 8.50" wide x 10.75" long x 0.50" tall
Weight: 1.980
Language: English

Acknowledgments
Preface
Prologue
About the Author
Introduction
What Is Biostatistics?
What Are the Issues?
Summary
Study Designs
Vocabulary
Observational Study Designs
Randomized Study Designs
The Framingham Heart Study
More on Clinical Trials
Sample Size Implications
Summary
Practice Problems
Quantifying the Extent of Disease
Prevalence
Incidence
Relationships Between Prevalence and Incidence
Comparing the Extent of Disease Between Groups
Summary
Practice Problems
Summarizing Data Collected in the Sample
Dichotomous Variables
Ordinal and Categorical Variables
Continuous Variables
Summary
Practice Problems
The Role of Probability
Sampling
Basic Concepts
Conditional Probability
Independence
Bayes' Theorem
Probability Models
Summary
Practice Problems
Confidence Interval Estimates
Introduction to Estimation
Confidence Intervals for One Sample, Continuous Outcome
Confidence Intervals for One Sample, Dichotomous Outcome
Confidence Intervals for Two Independent Samples, Continuous Outcome
Confidence Intervals for Matched Samples, Continuous Outcome
Confidence Intervals for Two Independent Samples, Dichotomous Outcome
Summary
Practice Problems
Hypothesis Testing Procedures
Introduction to Hypothesis Testing
Tests with One Sample, Continuous Outcome
Tests with One Sample, Dichotomous Outcome
Tests with One Sample, Categorical and Ordinal Outcomes
Tests with Two Independent Samples, Continuous Outcome
Tests with Matched Samples, Continuous Outcome
Tests with Two Independent Samples, Dichotomous Outcome
Tests with More Than Two Independent Samples, Continuous Outcome
Tests for Two or More Independent Samples, Categorical and Ordinal Outcomes
Summary
Practice Problems
Power and Sample Size Determination
Issues in Estimating Sample Size for Confidence Intervals Estimates
Issues in Estimating Sample Size for Hypothesis Testing
Summary
Practice Problems
Multivariable Methods
Confounding and Effect Modification
The Cochran-Mantel-Haenszel Method
Introduction to Correlation and Regression Analysis
Multiple Linear Regression Analysis
Multiple Logistic Regression Analysis
Summary
Practice Problems
Nonparametric Tests
Introduction to Nonparametric Testing
Tests with Two Independent Samples
Tests with Matched Samples
Tests with More Than Two Independent Samples
Summary
Practice Problems
Survival Analysis
Introduction to Survival Data
Estimating the Survival Function
Comparing Survival Curves
Cox Proportional Hazards Regression Analysis
Extensions
Summary
Practice Problems
Appendix
Glossary
Index