Book contents
- Frontmatter
- Dedication
- List of Contents
- Preface
- Acknowledgements
- How To Get the Best Out of This Book
- 1 Medicine and Numbers: Where Is the Connection?
- 2 Measuring a Variable: Why Eye Colour and Height Are Different
- 3 Summarising Data: Communicating Easily
- 4 Why Average and Range Is Not Always Enough: Standard Deviation and Standard Error
- 5 The Normal Distribution: What’s So ‘Normal’ About It?
- 6 Confidence Interval: What Is Your Guesstimate?
- 7 Innocent Until Proven Guilty! The Null Hypothesis
- 8 Errors in Hypothesis Tests: Learn Your á from Your â
- 9 The Randomised Controlled Trial: Why Does It Have To Be Random?
- 10 Choosing a Statistical Test: To ‘t’ or Not To ‘t’?
- 11 Finding the Odd One Out: The ANOVA Test
- 12 Categorically Different? The Chi-Squared Test
- 13 If the Line Fits: Correlation and Linear Regression
- 14 Hindsight is 20/20: Logistic Regression
- 15 Don’t Risk the Odds: Risk versus Odds as the Outcome Measure
- 16 I Will Survive! Time to Event Data Analysis
- 17 High Ceiling or Low Threshold? Accuracy of a Diagnostic Test
- 18 Apples or Oranges? Meta-Analysis of Selected Studies
- 19 Lies, Damned Lies and Statistics: Untangling Facts from Fiction!
- Glossary
- Index
7 - Innocent Until Proven Guilty! The Null Hypothesis
Published online by Cambridge University Press: 30 September 2021
Book contents
- Frontmatter
- Dedication
- List of Contents
- Preface
- Acknowledgements
- How To Get the Best Out of This Book
- 1 Medicine and Numbers: Where Is the Connection?
- 2 Measuring a Variable: Why Eye Colour and Height Are Different
- 3 Summarising Data: Communicating Easily
- 4 Why Average and Range Is Not Always Enough: Standard Deviation and Standard Error
- 5 The Normal Distribution: What’s So ‘Normal’ About It?
- 6 Confidence Interval: What Is Your Guesstimate?
- 7 Innocent Until Proven Guilty! The Null Hypothesis
- 8 Errors in Hypothesis Tests: Learn Your á from Your â
- 9 The Randomised Controlled Trial: Why Does It Have To Be Random?
- 10 Choosing a Statistical Test: To ‘t’ or Not To ‘t’?
- 11 Finding the Odd One Out: The ANOVA Test
- 12 Categorically Different? The Chi-Squared Test
- 13 If the Line Fits: Correlation and Linear Regression
- 14 Hindsight is 20/20: Logistic Regression
- 15 Don’t Risk the Odds: Risk versus Odds as the Outcome Measure
- 16 I Will Survive! Time to Event Data Analysis
- 17 High Ceiling or Low Threshold? Accuracy of a Diagnostic Test
- 18 Apples or Oranges? Meta-Analysis of Selected Studies
- 19 Lies, Damned Lies and Statistics: Untangling Facts from Fiction!
- Glossary
- Index
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- Making Sense of Medical StatisticsA Bite Sized Visual Guide, pp. 42 - 52Publisher: Cambridge University PressPrint publication year: 2021