Matskási István (szerk.): A Magyar Természettudományi Múzeum évkönyve 94. (Budapest 2002)

Radoinova, D., Tenekedjiev, K. ; Yordanov, Y.: Stature estimation according to bone length in Hungarian population

The correlation coefficient between the regression parameters is -0.997. The resulting standard error is 1.08 cm within a 0.88 cm to 1.39 cm 95% confidence interval. The adjusted coefficient of multiple determination is R

2 = 0.960. The 95% confidence intervals of the model coefficients are from 84.14 cm to 93.97 cm and from 2.103 cm to 2.401 cm. The regression parameters are significant (t-tests with P-values < 0.0005) and the model (1) is adequate (ANOVA with P-value < 0.0005). The three well-known formulae (of TROTTER-GLESER, DUPERTUIS-HADDEN & BACH) describe the observed sample inadequately (P-value = 0.000% for each of them). The confidence intervals of the predicted maximal stature by a known length of the humerus can be read from the nomogram (Fig. 1). Alternatively the true confidence intervals should be calculated by complex mathematical formulae. In GILES and KLEPINGER (1988) forensic anthropologists are advised to use proper confidence intervals estimation when they predict living stature of an individual. The nomogram is on Fig. 1: 1.2. Maximal stature regression on fibula - Four outliers are rejected: 3 in the first loop and 1 in the second loop (n = 83-4 = 79). Homoskedasticity is not rejected in any one test (P-value > 0.0725). The regression equation is: (2) Efstature] = 85.65 + 2.209*Fi (1.51) (0.043) Fig. 1. Nomogram for predicting the maximal stature of Hungarian females using the length of humerus with age correction according to GILES and BORCAN (bold line). Three confidence margins are plotted (95% solid line, 99% dashed line and 99.9% dashdotted). The outliers are plotted with circles, and the experimental data is shown with dots