The Race Variable
how statistical practices reinforce inequality
$198.39
- Hardcover
256 pages
- Release Date
9 December 2025
Summary
Unmasking Inequality: The Misuse of Statistics in Racial Disparity Research
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 resul…
Book Details
| ISBN-13: | 9780231213622 |
|---|---|
| ISBN-10: | 023121362X |
| Series: | Race, Inequality, and Health |
| Author: | Jay Kaufman |
| Publisher: | Columbia University Press |
| Imprint: | Columbia University Press |
| Format: | Hardcover |
| Number of Pages: | 256 |
| Release Date: | 9 December 2025 |
| Weight: | 0g |
| Dimensions: | 229mm x 152mm |
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What They're Saying
Critics Review
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 Broken Hearts: The Tangled History of Cardiac Care
About The Author
Jay Kaufman
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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