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... *…mehr
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 sizesHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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