title: Use of regression analysis in reconstruction of maximum bone length and living stature from fragmentary measures of the ulna.
abstract: The present study deals with the computation of linear and multilinear regression formulae for reconstruction of ulnar length and stature through eleven fregmentary measures pertaining to linear, transverse, sagittal and circumferential dimensions of the ulna bone. A total of 288 ulnae, belonging to 82 male and 62 female documented skeletons have been measured for this purpose. The data reveals a non-significant bilateral variation in the fragmentary measures of the ulna while the sex differences are highly significant at 1% level. Keeping this in view, separate regression equations have been formulated for both the sexes. The study further highlights that the upper shaft circumference is the best predictor of ulnar length among all the fragmentary measures while stature can best be reconstructed using the breadth of olecranon. However, the maximum length as a non-fragmentary measure provides the most accurate estimate. In order to increase the accuracy in prediction of ulnar length and stature, multiple regression equations have also be constructed and used.
authors.affiliation: Medico-legal Institute, Gandhi Medical College, Bhopal (M.P.), India.
authors.forename: P
authors.initials: P
authors.lastname: Badkur
authors.forename: S
authors.initials: S
authors.lastname: Nath
mesh_terms: D000328:Adult; D001827:Body Height; D005260:Female; D006801:Humans; D008297:Male; D012044:Regression Analysis; D012727:Sex Characteristics; D014457:Ulna / Q000033:anatomy & histology*