Literature DB >> 25407762

Modeling senescence changes of the pubic symphysis in historic Italian populations: a comparison of the Rostock and forensic approaches to aging using transition analysis.

Kanya Godde1, Samantha M Hens.   

Abstract

Age-related anatomical changes to the surface of the pubic symphysis are well-documented in the literature. However, aligning these morphological changes with chronological age has proven problematic, often resulting in biased age estimates. Statistical modeling provides an avenue for forensic anthropologists and bioarchaeologists to increase the accuracy of traditional aging methods. Locating appropriate samples to use as a basis for modeling age estimations can be challenging due to differing sample age distributions and potentially varying patterns of senescence. We compared two approaches, Rostock and Forensic, coupled with a Bayesian methodology, to address these issues. Transition analysis was run specific to each method (which differ by sample selection). A Gompertz model was derived from an informative prior that yielded the mortality and senescence parameters for constructing highest posterior density ranges, i.e., coverages, which are analogous to age ranges. These age ranges were generated from both approaches and are presented as reference tables useful for historic male and female Italian samples. The age ranges produced from each approach were tested on an historic Italian sample, using cumulative binomial tests. These two approaches performed similarly, with the Forensic approach showing a slight advantage. However, the Forensic approach is unable to identify varying senescence patterns between populations, thus preference for one approach over the other will depend on research design. Finally, we demonstrate that while populations exhibit similar morphological changes with advancing age, there are no significant sex differences in these samples, and the timing of these changes varies from population to population.
© 2014 Wiley Periodicals, Inc.

Keywords:  Bayesian analysis; bioarchaeology; biostatistics; hazards analysis; prior probability

Mesh:

Year:  2014        PMID: 25407762     DOI: 10.1002/ajpa.22671

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  4 in total

1.  Age estimation from the acetabulum in South African black males.

Authors:  D Botha; S Pretorius; J Myburgh; M Steyn
Journal:  Int J Legal Med       Date:  2015-12-11       Impact factor: 2.686

2.  Proposal of new regression formulae for the estimation of age in infant skeletal remains from the metric study of the pars basilaris.

Authors:  Javier Irurita Olivares; Inmaculada Alemán Aguilera
Journal:  Int J Legal Med       Date:  2016-10-27       Impact factor: 2.686

3.  Age related changes of rib cortical bone matrix and the application to forensic age-at-death estimation.

Authors:  Andrea Bonicelli; Peter Zioupos; Emily Arnold; Keith D Rogers; Bledar Xhemali; Elena F Kranioti
Journal:  Sci Rep       Date:  2021-01-22       Impact factor: 4.379

4.  The Use of Informative Priors in Bayesian Modeling Age-at-death; a Quick Look at Chronological and Biological Age Changes in the Sacroiliac Joint in American Males.

Authors:  Kanya Godde
Journal:  AIMS Public Health       Date:  2017-06-07
  4 in total

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