Book contents
- A Clinician’s Guide to Statistics in Mental Health
- A Clinician’s Guide to Statistics in Mental Health
- Copyright page
- Dedication
- Dedication
- Contents
- Preface
- Acknowledgments
- Chapter 1 Why Data Never Speak for Themselves
- Chapter 2 Why You Cannot Believe Your Eyes
- Chapter 3 Levels of Evidence
- Chapter 4 Bias
- Chapter 5 Randomization
- Chapter 6 Clinical Trials: Improving on Clinical Experience
- Chapter 7 P-Values: Uses and Misuses
- Chapter 8 Forget P-Values: The Importance of Effect Sizes
- Chapter 9 Understanding Placebo Effects
- Chapter 10 Understanding Confidence Intervals
- Chapter 11 Observational Studies
- Chapter 12 The Alchemy of Meta-Analysis
- Chapter 13 Bayesian Statistics: Why Your Opinion Counts
- Chapter 14 Causation
- Chapter 15 A Philosophy of Statistics
- Chapter 16 Evidence-Based Medicine: Defense and Criticism
- Chapter 17 Social and Economic Factors: Peer Review, Funding, and the Conventional Wisdom
- Chapter 18 The New Canon of Psychopharmacology (STAR*D, STEP-BD, CATIE): How Clinical Trials Are Misinterpreted
- Chapter 19 How to Analyze a Study
- Chapter 20 False Positive Maintenance Clinical Trials in Psychiatry
- Appendix Understanding Regression
- References
- Index
Chapter 5 - Randomization
Published online by Cambridge University Press: 20 January 2023
- A Clinician’s Guide to Statistics in Mental Health
- A Clinician’s Guide to Statistics in Mental Health
- Copyright page
- Dedication
- Dedication
- Contents
- Preface
- Acknowledgments
- Chapter 1 Why Data Never Speak for Themselves
- Chapter 2 Why You Cannot Believe Your Eyes
- Chapter 3 Levels of Evidence
- Chapter 4 Bias
- Chapter 5 Randomization
- Chapter 6 Clinical Trials: Improving on Clinical Experience
- Chapter 7 P-Values: Uses and Misuses
- Chapter 8 Forget P-Values: The Importance of Effect Sizes
- Chapter 9 Understanding Placebo Effects
- Chapter 10 Understanding Confidence Intervals
- Chapter 11 Observational Studies
- Chapter 12 The Alchemy of Meta-Analysis
- Chapter 13 Bayesian Statistics: Why Your Opinion Counts
- Chapter 14 Causation
- Chapter 15 A Philosophy of Statistics
- Chapter 16 Evidence-Based Medicine: Defense and Criticism
- Chapter 17 Social and Economic Factors: Peer Review, Funding, and the Conventional Wisdom
- Chapter 18 The New Canon of Psychopharmacology (STAR*D, STEP-BD, CATIE): How Clinical Trials Are Misinterpreted
- Chapter 19 How to Analyze a Study
- Chapter 20 False Positive Maintenance Clinical Trials in Psychiatry
- Appendix Understanding Regression
- References
- Index
Summary
Randomization solves the problem of confounding bias; it addresses systematic error, which is the most important source of error, not chance. It equalizes all potential confounding factors, known and unknown, in all groups so that they equally influence the results, and thus can be ignored. Only then can the results of randomized treatment be interpreted at face value and causal inferences made. Sample size and other factors are relevant, though, and small randomized clinical trials (RCTs) can be misleading. Examples are given.
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- Information
- A Clinician's Guide to Statistics in Mental Health , pp. 21 - 26Publisher: Cambridge University PressPrint publication year: 2023