Table of Contents
Introduction 1
Part I: Beginning with Biostatistics Basics 7
Chapter 1: Biostatistics 101 9
Chapter 2: Overcoming Mathophobia: Reading and Understanding Mathematical Expressions 17
Chapter 3: Getting Statistical: A Short Review of Basic Statistics 31
Chapter 4: Counting on Statistical Software 51
Chapter 5: Conducting Clinical Research 61
Chapter 6: Looking at Clinical Trials and Drug Development 77
Part II: Getting Down and Dirty with Data 91
Chapter 7: Getting Your Data into the Computer 93
Chapter 8: Summarizing and Graphing Your Data 103
Chapter 9: Aiming for Accuracy and Precision 121
Chapter 10: Having Confidence in Your Results 133
Chapter 11: Fuzzy In Equals Fuzzy Out: Pushing Imprecision through a Formula 143
Part III: Comparing Groups 153
Chapter 12: Comparing Average Values between Groups 155
Chapter 13: Comparing Proportions and Analyzing Cross-Tabulations 173
Chapter 14: Taking a Closer Look at Fourfold Tables 189
Chapter 15: Analyzing Incidence and Prevalence Rates in Epidemiologic Data 203
Chapter 16: Feeling Noninferior (Or Equivalent) 211
Part IV: Looking for Relationships with Correlation and Regression 219
Chapter 17: Introducing Correlation and Regression 221
Chapter 18: Getting Straight Talk on Straight-Line Regression 233
Chapter 19: More of a Good Thing: Multiple Regression 251
Chapter 20: A Yes-or-No Proposition: Logistic Regression 267
Chapter 21: Other Useful Kinds of Regression 291
Part V: Analyzing Survival Data 311
Chapter 22: Summarizing and Graphing Survival Data 313
Chapter 23: Comparing Survival Times 331
Chapter 24: Survival Regression 339
Part VI: The Part of Tens 357
Chapter 25: Ten Distributions Worth Knowing 359
Chapter 26: Ten Easy Ways to Estimate How Many Subjects You Need 369
Index 375