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Acknowledgments | p. vii |
Preface | p. ix |
Prologue | p. xi |
About the Author | p. xiii |
Introduction | p. 1 |
What Is Biostatistics? | p. 2 |
What Are the Issues? | p. 2 |
Summary | p. 4 |
Study Designs | p. 7 |
Vocabulary | p. 8 |
Observational Study Designs | p. 8 |
Randomized Study Designs | p. 13 |
The Framingham Heart Study | p. 17 |
More on Clinical Trials | p. 17 |
Sample Size Implications | p. 20 |
Summary | p. 20 |
Practice Problems | p. 20 |
Quantifying the Extent of Disease | p. 23 |
Prevalence | p. 23 |
Incidence | p. 24 |
Relationships Between Prevalence and Incidence | p. 26 |
Comparing the Extent of Disease Between Groups | p. 27 |
Summary | p. 30 |
Practice Problems | p. 30 |
Summarizing Data Collected in the Sample | p. 35 |
Dichotomous Variables | p. 36 |
Ordinal and Categorical Variables | p. 40 |
Continuous Variables | p. 49 |
Summary | p. 60 |
Practice Problems | p. 62 |
The Role of Probability | p. 67 |
Sampling | p. 67 |
Basic Concepts | p. 69 |
Conditional Probability | p. 70 |
Independence | p. 73 |
Bayes' Theorem | p. 74 |
Probability Models | p. 75 |
Summary | p. 96 |
Practice Problems | p. 96 |
Confidence Interval Estimates | p. 101 |
Introduction to Estimation | p. 101 |
Confidence Intervals for One Sample, Continuous Outcome | p. 103 |
Confidence Intervals for One Sample, Dichotomous Outcome | p. 104 |
Confidence Intervals for Two Independent Samples, Continuous Outcome | p. 106 |
Confidence Intervals for Matched Samples, Continuous Outcome | p. 110 |
Confidence Intervals for Two Independent Samples, Dichotomous Outcome | p. 113 |
Summary | p. 117 |
Practice Problems | p. 118 |
Hypothesis Testing Procedures | p. 123 |
Introduction to Hypothesis Testing | p. 123 |
Tests with One Sample, Continuous Outcome | p. 130 |
Tests with One Sample, Dichotomous Outcome | p. 133 |
Tests with One Sample, Categorical and Ordinal Outcomes | p. 134 |
Tests with Two Independent Samples, Continuous Outcome | p. 138 |
Tests with Matched Samples, Continuous Outcome | p. 141 |
Tests with Two Independent Samples, Dichotomous Outcome | p. 144 |
Tests with More Than Two Independent Samples, Continuous Outcome | p. 147 |
Tests for Two or More Independent Samples, Categorical and Ordinal Outcomes | p. 156 |
Summary | p. 160 |
Practice Problems | p. 162 |
Power and Sample Size Determination | p. 169 |
Issues in Estimating Sample Size for Confidence Intervals Estimates | p. 170 |
Issues in Estimating Sample Size for Hypothesis Testing | p. 176 |
Summary | p. 185 |
Practice Problems | p. 185 |
Multivariable Methods | p. 189 |
Confounding and Effect Modification | p. 190 |
The Cochran-Mantel-Haenszel Method | p. 197 |
Introduction to Correlation and Regression Analysis | p. 198 |
Multiple Linear Regression Analysis | p. 206 |
Multiple Logistic Regression Analysis | p. 210 |
Summary | p. 213 |
Practice Problems | p. 214 |
Nonparametric Tests | p. 219 |
Introduction to Nonparametric Testing | p. 221 |
Tests with Two Independent Samples | p. 223 |
Tests with Matched Samples | p. 229 |
Tests with More Than Two Independent Samples | p. 236 |
Summary | p. 240 |
Practice Problems | p. 241 |
Survival Analysis | p. 243 |
Introduction to Survival Data | p. 245 |
Estimating the Survival Function | p. 247 |
Comparing Survival Curves | p. 252 |
Cox Proportional Hazards Regression Analysis | p. 260 |
Extensions | p. 264 |
Summary | p. 265 |
Practice Problems | p. 267 |
Appendix | p. 271 |
Glossary | p. 289 |
Index | p. 299 |
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The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.