Analysis of Age‐at‐Death Estimation Through the Use of Pubic Symphyseal Data*
ABSTRACT The question of whether age parameters derived from an American population will reliably estimate age-at-death for East European skeletal populations is important since the ability to accurately estimate an individual’s age-at-death hinges on what standard is used. A reference sample of identified individuals with known ages-at-death from the regions of the Former Yugoslavia (n = 861) is used to determine the age structure of victims and serves as the prior in the Bayesian analysis. Pubic symphyseal data in the manners of Todd (Am J Phys Anthropol, 3 , 285; Am J Phys Anthropol, 4 , 1) and Suchey-Brooks (Am J Phys Anthropol, 80 , 167) were collected for n = 296 Balkan males and females and for n = 2078 American males and females. An analysis of deviance is calculated using an improvement chi-square to test for population variation in the aging processes of American and East European populations using proportional odds probit regression. When males and females are treated separately, there is a significant association among females and the population (df = 1, chi-square likelihood ratio = 15.071, p = 0.001). New age estimates for Balkan populations are provided and are based on the calculated age distribution from the Gompertz-Makeham hazard analysis and the ages-of-transition. To estimate the age-at-death for an individual, the highest posterior density regions for each symphyseal phase are provided.
- American Journal of Physical Anthropology 02/1973; 38(1):31-8. · 2.48 Impact Factor
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ABSTRACT: Population biologists are often interested in examining the effects of continuous biological variables such as measures of growth, body size, nutritional status, and exposure to environmental risk factors, on discerte vital events such as brith, onset of disease, and death. Traditional statistical analyses are unable to cope with several complexities that arise in the study of such effects, including censoring of observations and explanatory variables that change over time. In addition, most traditional methods provide at best empirical rather than etiologic models of the processes of interest. This paper is a review of statistical techniques drawn from the field of hazards analysis that appear to be particularly appropriate for the study of biodemographic events and processes. A general likelihood framework is presented which permits efficient estimation and testing of a wide range of etiologic hazards models. We also review past attempts to model the biological processes underlying age patterns of fertility and mortality. Finally, we discuss how the hazards framework can be adapted to study the quantitative genetics of vital events. ©1992 Wiley-Liss, Inc.Yearbook of physical anthropology 02/1992; 35:43-87. · 1.39 Impact Factor
Article: Farewell to paleodemography[show abstract] [hide abstract]
ABSTRACT: Aging is based upon a good correlation between biological features (cranial sutures, pubic symphysis, humeral and femoral heads, osteons) and age. However it is not possible to estimate the structure of deaths of skeletal population if the correlation coefficient (r or multiple-R) between biologicla characteristics and age is lower than 0·9. None of the published age indicators, whether they are used together or separately, reach this required level (about 0·83 for males and 0·8 for females). Therefore all the age distributions currently published emphasize the limitation of a given method. At the present time the use of demographic estimators based on historically known populations is the best approach but it gives little information (e0o=25 years, 1q0=0·25 to 0·3, average number of children per woman=4–6), furthermore it is, to a certain extent, tautological in nature. After devoting a few years to this young, possibly still-born science, the authors bid farewell to paleodemography.Journal of Human Evolution. 01/1982;