Book contents
- Bias!
- Bias!
- Copyright page
- Dedication
- Synopsis
- Contents
- Preface
- Introduction
- Chapter 1All at Sea
- Chapter 2Are Scientists Inherently Biased?
- Chapter 3Biased Research in Recent Times – Even among Some of the Brightest
- Chapter 4Bias in the Research Question Asked
- Chapter 5Research Participation Bias
- Chapter 6Bias in Study Subjects
- Chapter 7Compared to What?
- Chapter 8Bias in the Study Conduct
- Chapter 9Bias in the Conduct of Animal Studies
- Chapter 10Bias in Statistical Analysis
- Chapter 11Bias in Study Interpretation
- Chapter 12Bias in the Dissemination of Study Results
- Chapter 13Bias in Pooling Data from Multiple Studies
- Chapter 14Bias in Randomized Controlled Trials
- Chapter 15Bias in Genetic Studies
- Chapter 16Bias in Pandemic Studies
- Chapter 17Bias in Pharmaco-epidemiology Studies
- Chapter 18Recognizing and Mitigating Bias
- 19Afterword
- Notes and Sources
- Index
Chapter 6 - Bias in Study Subjects
Published online by Cambridge University Press: 22 April 2026
Book contents
- Bias!
- Bias!
- Copyright page
- Dedication
- Synopsis
- Contents
- Preface
- Introduction
- Chapter 1All at Sea
- Chapter 2Are Scientists Inherently Biased?
- Chapter 3Biased Research in Recent Times – Even among Some of the Brightest
- Chapter 4Bias in the Research Question Asked
- Chapter 5Research Participation Bias
- Chapter 6Bias in Study Subjects
- Chapter 7Compared to What?
- Chapter 8Bias in the Study Conduct
- Chapter 9Bias in the Conduct of Animal Studies
- Chapter 10Bias in Statistical Analysis
- Chapter 11Bias in Study Interpretation
- Chapter 12Bias in the Dissemination of Study Results
- Chapter 13Bias in Pooling Data from Multiple Studies
- Chapter 14Bias in Randomized Controlled Trials
- Chapter 15Bias in Genetic Studies
- Chapter 16Bias in Pandemic Studies
- Chapter 17Bias in Pharmaco-epidemiology Studies
- Chapter 18Recognizing and Mitigating Bias
- 19Afterword
- Notes and Sources
- Index
Summary
Survivors are not a random sample of patients with disease, they are biased. How they differ from non-survivors must be understood before survival can be attributed to a disease process, or therapeutic intervention. Live-birth bias is a particular example; many conceptions fail before term birth and this influences the live-birth population. The importance of collider bias is reviewed. Workers are generally healthier than those not working introducing bias into occupational health studies.
Information
- Type
- Chapter
- Information
- Bias!How Systemic Error Threatens Biomedical Research, pp. 52 - 59Publisher: Cambridge University PressPrint publication year: 2026
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