Biostatistics for Dummies - John C Pezzullo

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Résumé :

Break down biostatistics, make sense of complex concepts, and pass your class

If you're taking biostatistics, you may need or want a little extra assistance as you make your way through. Biostatistics For Dummies follows a typical biostatistics course at the college level, helping you understand even the most difficult concepts, so you can get the grade you need. Start at the beginning by learning how to read and understand mathematical equations and conduct clinical research. Then, use your knowledge to analyze and graph your data. This new edition includes more example problems with step-by-step walkthroughs on how to use statistical software to analyze large datasets. Biostatistics For Dummies is your go-to guide for making sense of it all.

• Review basic statistics and decode mathematical equations
• Learn how to analyze and graph data from clinical research studies
• Look for relationships with correlation and regression
• Use software to properly analyze large datasets

Anyone studying in clinical science, public health, pharmaceutical sciences, chemistry, and epidemiology-related fields will want this book to get through that biostatistics course....

Biographie:

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....

Sommaire:
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