Biostatistics For Dummies

Statistics for the medical sciences, made easy Passing your intro biostatistics course starts with Biostatistics For Dummies. This book covers all the topics in a typical undergrad class. How do researchers collect and analyze data in clinical settings? How do you present results in charts and graphs? This easy-to-understand guide answers all your biostatistics questions--and it gives you a chance to practice, with example problems and step-by-step walkthroughs of statistical analyses. With this book by your side, you can master the complexities of first-year biostatistics. Inside...

• Reviewing basic statistics
• Designing sound studies
• Collecting medical samples
• Using statistical software
• Comparing prevalence rates
• Analyzing correlations
• Graphing medical data
• Estimating sample sizes

Introduction 1 Part 1: Getting Started with Biostatistics 5
CHAPTER 1: Biostatistics 101 7
CHAPTER 2: Overcoming Mathophobia: Reading and Understanding Mathematical Expressions 15
CHAPTER 3: Getting Statistical: A Short Review of Basic Statistics 29
Part 2: Examining Tools and Processes 51
CHAPTER 4: Counting on Statistical Software 53
CHAPTER 5: Conducting Clinical Research 61
CHAPTER 6: Taking All Kinds of Samples 77
CHAPTER 7: Having Designs on Study Design 87
Part 3: Getting Down and Dirty with Data 99
CHAPTER 8: Getting Your Data into the Computer 101
CHAPTER 9: Summarizing and Graphing Your Data 111
CHAPTER 10: Having Confidence in Your Results 129
Part 4: Comparing Groups 139
CHAPTER 11: Comparing Average Values between Groups 141
CHAPTER 12: Comparing Proportions and Analyzing Cross-Tabulations 159
CHAPTER 13: Taking a Closer Look at Fourfold Tables 173
CHAPTER 14: Analyzing Incidence and Prevalence Rates in Epidemiologic Data 191
Part 5: Looking for Relationships with Correlation and Regression 199
CHAPTER 15: Introducing Correlation and Regression 201
CHAPTER 16: Getting Straight Talk on Straight-Line Regression 213
CHAPTER 17: More of a Good Thing: Multiple Regression 233
CHAPTER 18: A Yes-or-No Proposition: Logistic Regression 249
CHAPTER 19: Other Useful Kinds of Regression 271
CHAPTER 20: Getting the Hint from Epidemiologic Inference 291
Part 6: Analyzing Survival Data 299
CHAPTER 21: Summarizing and Graphing Survival Data 301
CHAPTER 22: Comparing Survival Times 317
CHAPTER 23: Survival Regression 327
Part 7: The Part of Tens 349
CHAPTER 24: Ten Distributions Worth Knowing 351
CHAPTER 25: Ten Easy Ways to Estimate How Many Participants You Need 361
Index 369