Estimation of stature from long bones utilizing the line of organic correlation

Sjøvold, Torstein

doi:10.1007/bf02435593

Cited by 231 publications

(211 citation statements)

References 14 publications

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“…Maximum Sj0vold (1990) weighted lines of organic correlation formulae for all ethnic groups independent of sex (see Table 5). …”

Section: Sidementioning

confidence: 99%

“…Table 2 Maximum length and estimated height (cm) from complete Homo neanderthalensis long bones (n = 39) sorted into groups by sex and bone. Sj0vold (1990) …”

Section: Sidementioning

confidence: 99%

“…In addition, the statistical approach Table 3 Maximum length and estimated height (in cm) from complete early Homo sapiens long bones sorted by bone (n = 17). b Sj0vold (1990) formulae in Table 5. C Tibial length definition as in Table 1. involves various regression models and type equations (see Konigsberg et al, 1998 andHens et al, 2000 and references there in).…”

Section: Choosing a Regression Fonnulamentioning

confidence: 99%

“…Since in the present case we do not have the necessary biological information to select the correct formula, we are left with two options: 1) to compile, apply and average the results from as many equations as we can find, or 2) to use a set of formulae that are applicable in our particular context and that produce reproducible results. Sj0vold (1990), Aiello and Dean (1990) and Aiello (1992) describe the differences and benefits inherent in the Model I (ordinary least squares-OLS) and Model 11 (major axis-MA and reduced major axis-RMA) regression methods and stature estimation. For these authors, and many others, RMA is the best approach in a palaeoanthropological context where it may not be possible to know whether individual specimens or samples come from the same stature distribution as the reference sample.…”

Section: Choosing a Regression Fonnulamentioning

confidence: 99%

“…In this sense, Sj0vold (1990) argued that estimating stature from the sample mean bone length provides an estimate of the mean stature of the population that is independent of the particular statistical method used. He applied general equations that are fitted to a wide range of populations and upon which the effects of sex and race are practically negligible.…”

Section: Choosing a Regression Fonnulamentioning

confidence: 99%

See 4 more Smart Citations

Stature estimation from complete long bones in the Middle Pleistocene humans from the Sima de los Huesos, Sierra de Atapuerca (Spain)

Carretero

Rodríguez

García‐González

et al. 2012

Journal of Human Evolution

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“…Maximum Sj0vold (1990) weighted lines of organic correlation formulae for all ethnic groups independent of sex (see Table 5). …”

Section: Sidementioning

confidence: 99%

“…Table 2 Maximum length and estimated height (cm) from complete Homo neanderthalensis long bones (n = 39) sorted into groups by sex and bone. Sj0vold (1990) …”

Section: Sidementioning

confidence: 99%

Section: Choosing a Regression Fonnulamentioning

confidence: 99%

Section: Choosing a Regression Fonnulamentioning

confidence: 99%

Section: Choosing a Regression Fonnulamentioning

confidence: 99%

See 3 more Smart Citations

Stature estimation from complete long bones in the Middle Pleistocene humans from the Sima de los Huesos, Sierra de Atapuerca (Spain)

Carretero

Rodríguez

García‐González

et al. 2012

Journal of Human Evolution

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Regression equations for estimating stature from long bones of early Holocene European samples

Formicola

Franceschi

1996

Am. J. Phys. Anthropol.

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Regression equations for estimating living stature from long bone lengths have been calibrated on a sample of European Neolithic skeletons (33 males and 27 females) by using both least-squares (model I) and major axis (model II) regression techniques. Stature estimates of the skeletal sample have been made by means of Fully's anatomical method, a procedure based on the sum of all osseous components of height, providing the best approximations to the actual stature. The calculated equations have been tested, along with those generally used to predict stature of earlier European remains, on a small, well-preserved sample including Late Upper Paleolithic, Mesolithic, and Neolithic skeletons. The results indicate that the model II equations are particularly useful when very short or very tall individuals are involved and, at the same time, are among the best predictors of stature in less extreme conditions.

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“Race” specificity and the femur/stature ratio

Feldesman

Fountain

1996

Am. J. Phys. Anthropol.

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This inquiry explores a series of problems related to the femur/stature ratio first raised by Feldesman et al. (1990). In particular, we used a revised data set and a more elaborate research protocol to address questions pertaining to: (1) whether the femur/stature ratios of three quasigeographic "races" ("Blacks," "Whites," "Asians") are statistically significantly different; (2) whether these are statistically (as opposed to biologically) coherent groups; and (3) whether the "race"-specific ratios are more accurate than the simple generic femur/stature ratio. We used ANOVA, ANOCOVA, post hoc analysis, k-means cluster analysis, linear discriminant functions, and approximate randomization to determine whether the group differences in the ratio were significant, and to assess the coherence of the "racial" groups themselves. We used validation procedures including mean absolute deviation, mean squared error, and Pitman's measure of closeness of a known sample of 798 femur/stature pairs to compare the accuracy of the generic ratio and the group-specific ratios. The results confirmed that the "Black" femur/stature ratio is significantly different from those of "Whites" and "Asians"; however, group coherence was poor, with results barely better than chance. We found that "race"-specific ratios slightly outperform the generic ratio when "race" is certain, but the gains are small for the assumptions required. More significantly, however, we found that when "race" attribution is uncertain or unknown, as in paleoanthropology, the wrong ratio (or the wrong regression equation) performs poorer than the generic femur/stature ratio. As a result, we recommend that researchers continue using the generic femur/ stature ratio to estimate stature in pre- and protohistoric populations. An alternative equation, a generic regression, yields even better stature estimates; however, we urge further study before recommending that researchers use this instead of the more thoroughly tested generic femur/stature ratio.

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Estimation of stature from long bones utilizing the line of organic correlation

Cited by 231 publications

References 14 publications

Stature estimation from complete long bones in the Middle Pleistocene humans from the Sima de los Huesos, Sierra de Atapuerca (Spain)

Stature estimation from complete long bones in the Middle Pleistocene humans from the Sima de los Huesos, Sierra de Atapuerca (Spain)

Regression equations for estimating stature from long bones of early Holocene European samples

“Race” specificity and the femur/stature ratio

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