264 clavicles from 132 Chinese Han nationality adult males of known age (17—76 years)were used for this study.The specimens were collected from Yunnanprovince,Guizhou province,Guangxi autonomous region and Shandong province.Changes of facies and margo articularis sternalis,facies and margo articularis acro-mialis and the back of extremitate acromialis near the margo bear relation to chan-ges with age.The changes of clavicles in these areas were divided into five phases.Statistical analysis revealed that the features chosen to delineate the various phasesare valid indicators of age.This study has shown that the clavicle can provide anaccurate estimation for age in Han nationality adult male spanning the age of 17 to76 years.

Objective To establish the method of estimating the stature with the length of the thoracic segments of spine.Methods By applying technology of digital radiography(DR),the digital radiography of thoracic segments of 514 living subjects from the population of Han of Sichuan in China are obtained,their length of thoracic segments of spine also were measured from the radiograms and the body height of each subject was recorded.Linear regression analysis in grouping was done between the length of thoracic segments of spine and body height,and than the linear regression equations for stature estimation were produced based on the dimensions of thoracic segments.Results 7 regression equations were established from 7 groups(mixture between males and females,males,females,males between 20 and 45 years of age,males greater than 45 years of age,females between 20 and 45 years of age and females greater than 45 years of age).Each equation has been checked by analysis of variance of linear regression model and proved to be appropriate in statistic(P

Objective To establish the mathematical models of stature estimation for Sichuan Han female with measurement of lumbar vertebrae by X-ray to provide essential data for forensic anthropology re-search. Methods The samples, 206 Sichuan Han females, were divided into three groups including group A, B and C according to the ages. Group A(206 samples) consisted of all ages, group B(116 samples) were 20-45 years old and 90 samples over 45 years old were group C. All the samples were examined lumbar vertebrae through C Rtechnology, including the parameters of five centrums (L1-L5) as anterior border, posterior border and central heights (x1-x15), total central height of lumbar spine (x16), and the real height of every sample.The linear regression analysis was produced using the parameters to establish the mathematical models of stature estimation. Sixty-two trained subjects were tested to verify the accuracy of the mathematical models. Results The established mathematical models by hypothesis test of linear regression equation model were statistically significant (P<0.05).The standard errors of the equation were 2.982-5.004 cm, while correlation coefficients were 0.370-0.779 and multiple correlation coefficients were 0.533-0.834.The return tests of the highest correlation coefficient and multiple correlation coefficient of each group showed that the highest accuracy of the multiple regression equation, y=100.33+1.489 x3-0.548 x6+0.772 x9+0.058 x12+0.645 x15, in group Awere 80.6% (±1SE ) and 100% (±2SE ). Conclusion The established mathematical models in this study could be applied for the stature estimation for Sichuan Han females.