Biostatistics for dummies / by John C. Pezzullo, PhD.

By: Material type: TextTextSeries: --For dummiesPublication details: Canada John Wiley & Sons, Inc 2013Description: xviii, 390 pages : illustrations ; 24 cmISBN:
  • 9781118553985 (paperback)
  • 1118553985 (paperback)
  • 9781118553954 (ebk.)
  • 9781118553961 (ebk.)
  • 9781118553992 (ebk.)
Subject(s): DDC classification:
  • 570.15195 22
LOC classification:
  • QH323.5 .P48 2013
Contents:
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.
Summary: 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 --
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Item type Current library Collection Call number Status Date due Barcode
Books Books Tan Tao University General Stacks Non-fiction 570.15195 (Browse shelf(Opens below)) Not For Loan A-2016-0295
Books Books Tan Tao University General Stacks Non-fiction 570.15195 (Browse shelf(Opens below)) Not For Loan A-2016-0294

Includes index.

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.

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 --

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