Stature estimation from foot length using universal regression formula in a North Indian population

Tanuj Kanchan, Ritesh G. Menezes, Rohan Moudgil, Ramneet Kaur, M. S. Kotian, Rakesh K. Garg

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Stature is a significant parameter in establishing identity of an unknown. Conventionally, researchers derive regression formula separately for males and females. Sex, however, may not always be determined accurately, particularly in dismembered remains and thus the need for a universal regression formula for stature estimation irrespective of sex of an individual. The study was carried out in an endogamous group of North India to compare the accuracy of sex-specific regression models for stature estimation from foot length with the models derived when the sex was presumed as unknown. The study reveals that regression equation derived for the latter can estimate stature with reasonable accuracy. Thus, stature can be estimated accurately from foot length by regression analysis even when sex remains unknown.

Original languageEnglish
Pages (from-to)163-166
Number of pages4
JournalJournal of Forensic Sciences
Volume55
Issue number1
DOIs
Publication statusPublished - 01-01-2010

Fingerprint

Foot
Population
India
Regression Analysis
Research Personnel

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Genetics

Cite this

Kanchan, Tanuj ; Menezes, Ritesh G. ; Moudgil, Rohan ; Kaur, Ramneet ; Kotian, M. S. ; Garg, Rakesh K. / Stature estimation from foot length using universal regression formula in a North Indian population. In: Journal of Forensic Sciences. 2010 ; Vol. 55, No. 1. pp. 163-166.
@article{ed609417bafb4f93a0f9f4d004360b7c,
title = "Stature estimation from foot length using universal regression formula in a North Indian population",
abstract = "Stature is a significant parameter in establishing identity of an unknown. Conventionally, researchers derive regression formula separately for males and females. Sex, however, may not always be determined accurately, particularly in dismembered remains and thus the need for a universal regression formula for stature estimation irrespective of sex of an individual. The study was carried out in an endogamous group of North India to compare the accuracy of sex-specific regression models for stature estimation from foot length with the models derived when the sex was presumed as unknown. The study reveals that regression equation derived for the latter can estimate stature with reasonable accuracy. Thus, stature can be estimated accurately from foot length by regression analysis even when sex remains unknown.",
author = "Tanuj Kanchan and Menezes, {Ritesh G.} and Rohan Moudgil and Ramneet Kaur and Kotian, {M. S.} and Garg, {Rakesh K.}",
year = "2010",
month = "1",
day = "1",
doi = "10.1111/j.1556-4029.2009.01243.x",
language = "English",
volume = "55",
pages = "163--166",
journal = "Journal of Forensic Sciences",
issn = "0022-1198",
publisher = "Wiley-Blackwell",
number = "1",

}

Stature estimation from foot length using universal regression formula in a North Indian population. / Kanchan, Tanuj; Menezes, Ritesh G.; Moudgil, Rohan; Kaur, Ramneet; Kotian, M. S.; Garg, Rakesh K.

In: Journal of Forensic Sciences, Vol. 55, No. 1, 01.01.2010, p. 163-166.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Stature estimation from foot length using universal regression formula in a North Indian population

AU - Kanchan, Tanuj

AU - Menezes, Ritesh G.

AU - Moudgil, Rohan

AU - Kaur, Ramneet

AU - Kotian, M. S.

AU - Garg, Rakesh K.

PY - 2010/1/1

Y1 - 2010/1/1

N2 - Stature is a significant parameter in establishing identity of an unknown. Conventionally, researchers derive regression formula separately for males and females. Sex, however, may not always be determined accurately, particularly in dismembered remains and thus the need for a universal regression formula for stature estimation irrespective of sex of an individual. The study was carried out in an endogamous group of North India to compare the accuracy of sex-specific regression models for stature estimation from foot length with the models derived when the sex was presumed as unknown. The study reveals that regression equation derived for the latter can estimate stature with reasonable accuracy. Thus, stature can be estimated accurately from foot length by regression analysis even when sex remains unknown.

AB - Stature is a significant parameter in establishing identity of an unknown. Conventionally, researchers derive regression formula separately for males and females. Sex, however, may not always be determined accurately, particularly in dismembered remains and thus the need for a universal regression formula for stature estimation irrespective of sex of an individual. The study was carried out in an endogamous group of North India to compare the accuracy of sex-specific regression models for stature estimation from foot length with the models derived when the sex was presumed as unknown. The study reveals that regression equation derived for the latter can estimate stature with reasonable accuracy. Thus, stature can be estimated accurately from foot length by regression analysis even when sex remains unknown.

UR - http://www.scopus.com/inward/record.url?scp=74249091677&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=74249091677&partnerID=8YFLogxK

U2 - 10.1111/j.1556-4029.2009.01243.x

DO - 10.1111/j.1556-4029.2009.01243.x

M3 - Article

C2 - 20015164

AN - SCOPUS:74249091677

VL - 55

SP - 163

EP - 166

JO - Journal of Forensic Sciences

JF - Journal of Forensic Sciences

SN - 0022-1198

IS - 1

ER -