Statistics Done Wrong

Book description

None

Publisher resources

View/Submit Errata

Table of contents

  1. Praise for Statistics Done Wrong
  2. Statistics Done Wrong: The Woefully Complete Guide
  3. Contents
  4. About the Author
  5. Preface
    1. Acknowledgments
  6. Introduction
  7. 1. An Introduction to Statistical Significance
    1. The Power of p Values
      1. Psychic Statistics
      2. Neyman-Pearson Testing
    2. Have Confidence in Intervals
  8. 2. Statistical Power and Underpowered Statistics
    1. The Power Curve
    2. The Perils of Being Underpowered
      1. Wherefore Poor Power?
      2. Wrong Turns on Red
    3. Confidence Intervals and Empowerment
    4. Truth Inflation
      1. Little Extremes
  9. 3. Pseudoreplication: Choose Your Data Wisely
    1. Pseudoreplication in Action
    2. Accounting for Pseudoreplication
    3. Batch Biology
    4. Synchronized Pseudoreplication
  10. 4. The P Value and the Base Rate Fallacy
    1. The Base Rate Fallacy
      1. A Quick Quiz
      2. The Base Rate Fallacy in Medical Testing
      3. How to Lie with Smoking Statistics
      4. Taking Up Arms Against the Base Rate Fallacy
    2. If At First You Don’t Succeed, Try, Try Again
    3. Red Herrings in Brain Imaging
    4. Controlling the False Discovery Rate
  11. 5. Bad Judges of Significance
    1. Insignificant Differences in Significance
    2. Ogling for Significance
  12. 6. Double-Dipping in the Data
    1. Circular Analysis
    2. Regression to the Mean
    3. Stopping Rules
  13. 7. Continuity Errors
    1. Needless Dichotomization
    2. Statistical Brownout
    3. Confounded Confounding
  14. 8. Model Abuse
    1. Fitting Data to Watermelons
    2. Correlation and Causation
    3. Simpson’s Paradox
  15. 9. Researcher Freedom: Good Vibrations?
    1. A Little Freedom Is a Dangerous Thing
    2. Avoiding Bias
  16. 10. Everybody Makes Mistakes
    1. Irreproducible Genetics
    2. Making Reproducibility Easy
    3. Experiment, Rinse, Repeat
  17. 11. Hiding the Data
    1. Captive Data
      1. Obstacles to Sharing
      2. Data Decay
    2. Just Leave Out the Details
      1. Known Unknowns
      2. Outcome Reporting Bias
    3. Science in a Filing Cabinet
      1. Unpublished Clinical Trials
      2. Spotting Reporting Bias
      3. Forced Disclosure
  18. 12. What Can Be Done?
    1. Statistical Education
    2. Scientific Publishing
    3. Your Job
  19. A. Notes
    1. Introduction
    2. Chapter 1
    3. Chapter 2
    4. Chapter 3
    5. Chapter 4
    6. Chapter 5
    7. Chapter 6
    8. Chapter 7
    9. Chapter 8
    10. Chapter 9
    11. Chapter 10
    12. Chapter 11
    13. Chapter 12
  20. B. Colophon
  21. C. Updates
  22. Index
  23. Copyright

Product information

  • Title: Statistics Done Wrong
  • Author(s): Alex Reinhart
  • Release date:
  • Publisher(s): No Starch Press
  • ISBN: None