Biostatistics for dummies /
Pezzullo, John C.,author.
Biostatisticans are charged with binding answers to some of the world's most pressing health questions. This guide covers the relevant topics you'd encounter in a biostatistics course, and provides plain-English explanations of important concepts.
Includes index.
Biostatisticans are charged with binding answers to some of the world's most pressing health questions. This guide covers the relevant topics you'd encounter in a biostatistics course, and provides plain-English explanations of important concepts.
Introduction -- About This Book -- Conventions Used in This Book -- What You're Not to Read -- Foolish Assumptions -- How This Book Is Organized -- Icons Used in This Book -- Where to Go from Here --
Part I: Beginning with Biostatistics Basics. Chapter 1: Biostatistics 101 --  Chapter 2: Overcoming Mathophobia: Reading and Understanding Mathematical Expressions -- Chapter 3: Getting Statistical: A Short Review of Basic Statistics -- Chapter 4: Counting on Statistical Software -- Chapter 5: Conducting Clinical Research -- Chapter 6: Looking at Clinical Trials and Drug Development --
Part II: Getting Down and Dirty with Data. Chapter 7: Getting Your Data into the Computer --  Chapter 8: Summarizing and Graphing Your Data -- Chapter 9: Aiming for Accuracy and Precision -- Chapter 10: Having Confidence in Your Results -- Chapter 11: Fuzzy In Equals Fuzzy Out: Pushing Imprecision through a Formula --
Part III: Comparing Groups. Chapter 12: Comparing Average Values between Groups -- Chapter 13: Comparing Porportions and Analyzing Cross-Tabulations -- Chapter 14: Taking a Closer Look at Fourfold Tables -- Chapter 15: Analyzing Incidence and Prevalence Rates in Epidemiologic Data -- Chapter 16: Feeling Noninferior (Or Equivalent) --
Part IV: Looking for Relationships with Correlation and Regression. Chapter 17: Introducing Correlation and Regression -- Chapter 18: Getting Straight Talk on Straight-Line Regression -- Chapter 19: More of a Good Thing: Multiple Regression -- Chapter 20: A Yes-or-No Proposition: Logistic Regression -- Chapter 21: Other Useful Kinds of Regression --
Part V: Analyzing Survival Data. Chapter 22: Summarizing and Graphing Survival Data -- Chapter 23: Comparing Survival Times -- Chapter 24: Survival Regression --
Part VI: The Part of Tens. Chapter 25: Ten Distributions Worth Knowing -- Chapter 26: Ten Easy Ways to Estimate How Many Subjects You Need -- Index.
Biometry.