Monika Wahi, MPH, CPH, leads the data science consulting firm DethWench Professional Services (DPS). She is also author of 8 LinkedIn Learning courses. John C. Pezzullo, PhD, held academic positions at Wayne State University and George-town University, including in the department of biomathematics and biostatistics.

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