1982
DOI: 10.1002/ajpa.1330580206
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Classification and misclassification in sexing the Black femur by discriminant function analysis

Abstract: Stepwise discriminant function analysis for sex assessment was applied to 130 North American Black femora. The measurements included femoral length and three midshaft dimensions likely to be preserved in archaeologically-derived and forensic remains. The method correctly assigned sex for 76.4% of the sample (range 70.8-81.5%). This compares favorably with results achieved with other skeletal parts; it also compares favorably with results using the femur in sexing other racial groups. Among our other conclusion… Show more

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Cited by 61 publications
(27 citation statements)
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“…The LR models are slightly biased towards the correct estimation of sex in males, a pattern commonly reported in other studies [8,15,31,32,34] -although not always [9].…”
Section: Resultssupporting
confidence: 70%
See 1 more Smart Citation
“…The LR models are slightly biased towards the correct estimation of sex in males, a pattern commonly reported in other studies [8,15,31,32,34] -although not always [9].…”
Section: Resultssupporting
confidence: 70%
“…It is also dimorphic within the same population [5], and very useful in sexing skeletal remains. Several dimensions of the femur, including femoral head diameter, femoral length, and bicondylar breadth have been utilized for the allocation of sex in unknown skeletal individuals [1,[7][8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…Miller-Shaivitz [18], Macho [19], and DiBennardo and Taylor [29] suggest that epiphyseal measurements and midshaft circumference are more reliable indicators of sex because the functional demands of weight and musculature concentrate on these parts of the bone.…”
Section: Discussionmentioning
confidence: 99%
“…It was higher in males as compared to females, which is similar to previous works. [3,7,10,[13][14][15] The mean values were lower in studies on Japanese and Thai populations. [16,17] , which supports the inference that these parameters differ with the population under consideration.…”
Section: Discussionmentioning
confidence: 99%