The Race Variable: How Statistical Practices Reinforce Inequality

Author:   Jay Kaufman
Publisher:   Columbia University Press
Volume:   14
ISBN:  

9780231213639


Pages:   256
Publication Date:   09 December 2025
Format:   Paperback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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The Race Variable: How Statistical Practices Reinforce Inequality


Overview

From social science and biomedical research to government and media reporting, statistics on racial and ethnic disparities are everywhere. The numbers we typically encounter, however, are not straightforward comparisons. Researchers analyze data using adjustments such as regression models that are intended to address bias and confounding factors. Yet many common statistical practices produce misleading results, and some have flawed assumptions that inadvertently misrepresent the inequalities between groups. Jay S. Kaufman offers a clear and accessible guide to understanding the use and abuse of statistics on racial and ethnic disparities. Examining dozens of real-world examples spanning medicine, economics, education, and criminal justice, he shows how typical statistical practices—no matter how well-intentioned—have obscured the realities of injustice, with significant consequences for public policy. Kaufman considers how to select and apply statistical adjustments responsibly and systematically, and he proposes ways to improve the explanation and analysis of racial and ethnic inequalities. Written for readers without a background in statistics, this book provides an essential introduction to quantitative reasoning in terms of social justice. The Race Variable is appropriate for undergraduate and graduate courses across the medical and social sciences—including sociology, demography, public health, epidemiology, medicine, and public policy—that focus on racial and ethnic disparities, and for all readers interested in the statistical foundations of our understanding of inequality.

Full Product Details

Author:   Jay Kaufman
Publisher:   Columbia University Press
Imprint:   Columbia University Press
Volume:   14
ISBN:  

9780231213639


ISBN 10:   0231213638
Pages:   256
Publication Date:   09 December 2025
Audience:   College/higher education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

Acknowledgments Introduction 1. What Is This Thing Called Race? 2. Causality and the Fundamental Challenge of Observed Correlation 3. Making Other Worlds 4. Crude Versus Adjusted Racial and Ethnic Comparisons 5. Conditional Disparities Are the Devil’s Playground 6. The Mismeasure of Man 7. Proxies and Predictions 8. Filters and Screens 9. Scales, Values, and Preferences 10. What Explains a Disparity? 11. Nature Versus Nurture Conclusion Notes Index

Reviews

This book provides an invaluable cautionary tale, describing the many kinds of mistakes that are routinely made in the medical literature with regards to race and ethnicity and offering guidance to practitioners and researchers alike. -- David S. Jones, author of <i>Broken Hearts: The Tangled History of Cardiac Care</i>


Author Information

Jay S. Kaufman is a professor in the Department of Epidemiology, Biostatistics, and Occupational Health at McGill University. A former president of the Society for Epidemiological Research, he is an editor of the journal Epidemiology and coeditor of the textbook Methods in Social Epidemiology (second edition, 2017).

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