Regression Calibration is a statistical method that corrects for measurement error in regressor variables by modeling the relationship between an observed surrogate variable and the true unobserved regressor through a calibration function derived from a validation or auxiliary dataset.
188
Publications
11.7K
Citations
556
Authors
291
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Publications per year
2017–2026
35
Parents
Publications
188
Colin L. Mallows · Technometrics · 1995 · 1.1K citations
Methods and Guidelines for Effective Model Calibration
Mary C. Hill · 2000 · 460 citations
Measurement, Regression, and Calibration
Leon Jay Gleser, Philip J. Brown · Technometrics · 1996 · 314 citations
1–5 of 188
Authors
556
- RJ
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- LS
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- DS
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1–5 of 556
Institutions
291
Texas A&M University
College Station, United States
16 h-index
27 publications
1.7K citations
Harvard University
Cambridge, United States
13 h-index
28 publications
2.5K citations
Fred Hutch Cancer Center
Seattle, United States
13 h-index
32 publications
3.1K citations
National Cancer Institute
Bethesda, United States
11 h-index
29 publications
4.4K citations
National Institute for Public Health and the Environment
De Bilt, The Netherlands
6 h-index
10 publications
363 citations
University of Michigan
Ann Arbor, United States
6 h-index
15 publications
666 citations
Sheba Medical Center
Ramat Gan, Israel
5 h-index
9 publications
2.4K citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
4 h-index
4 publications
244 citations
1–8 of 291
Venues
- Biometrics
19 publications · 1.1K citations
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- Statistics in Medicine
15 publications · 800 citations
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- American Journal of Epidemiology
AJE · 12 publications · 943 citations
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- Technometrics
5 publications · 1.5K citations
5
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- Chemometrics and Intelligent Laboratory Systems
5 publications · 537 citations
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