Population-specific Regression Formulae
Population-Specific Regression Formulae is a statistical methodology used in stature estimation that consists of regression equations derived from anthropometric data of a particular population, distinguished by its customization to account for unique genetic, geographic, and environmental factors influencing skeletal or body proportions within that defined group.
122
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8.7K
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421
Authors
212
Institutions
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2017–2026
17
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122
Global Prevalence of Diabetes: Estimates for the Year 2000 and Projections for 2030
Gojka Roglić, Anders Green, Richard Sicree et al. · Diabetes Care · 2004 · 1.5K citations
W.M.C. Chumlea, Shumei Guo, Maria L Steinbaugh · Journal of the American Dietetic Association · 1994 · 361 citations
W. C. Chumlea, Shumei Guo, KEVIN WHOLIHAN et al. · Journal of the American Dietetic Association · 1998 · 225 citations
Social Sciences, Biostatistics, Population Health Sciences +17
Discordance Between HbA1c and Fructosamine
Robert M. Cohen, Yancey R. Holmes, Thomas C. Chenier et al. · Diabetes Care · 2003 · 225 citations · Full text
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212
Wright State University
Dayton, United States
4 h-index
11 publications
1.8K citations
The Ohio State University
Columbus, United States
4 h-index
11 publications
560 citations

University of Windsor
Windsor, Canada
3 h-index
7 publications
190 citations

University of the Witwatersrand
Johannesburg, South Africa
3 h-index
5 publications
364 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
9 publications
242 citations

University of British Columbia
Vancouver, Canada
3 h-index
3 publications
145 citations

The University of Queensland
Brisbane, Australia
2 h-index
3 publications
90 citations

Monash Medical Centre
Clayton, Australia
2 h-index
2 publications
106 citations
1–8 of 212
8 publications · 604 citations
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Repository · 8 publications · 165 citations
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JOFS · 6 publications · 395 citations
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4 publications · 357 citations
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4 publications · 112 citations
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