Matches in SemOpenAlex for { <https://semopenalex.org/work/W2766102161> ?p ?o ?g. }
- W2766102161 abstract "In the forensic context, teeth are often recovered in mass disasters, armed conflicts, and mass graves associated with human rights violations. Therefore, for victim identification, techniques utilizing the dentition to estimate the first parameters of identity (e.g., age) can be critical. This analysis was undertaken to apply a Bayesian statistical method, transition analysis, based on the Gompertz-Makeham (GM) hazard model, to estimate individual ages-at-death for Balkan populations utilizing dental wear. Dental wear phases were scored following Smith's eight-phase ordinal scoring method and chart. To estimate age, probability density functions for the posterior distributions of age for each tooth phase are calculated. Transition analysis was utilized to generate a mean age-of-transition from one dental wear phase to the next. The age estimates are based on the cal- culated age distribution from the GM hazard analysis and the ages-of-transition. To estimate the age-at-death for an individual, the highest posterior density region for each phase is calculated. By using a Bayesian statistical approach to estimate age, the population's age distribution is taken into account. Therefore, the age estimates are reliable for the Balkan populations, regardless of population or sex differences. The results showed that a vast amount of interpersonal variation in dental wear exists within the current sample and that this method may be most useful for classifying unknown individuals into broad age cohorts rather than small age ranges. Due to their highly durable nature, teeth are not only recovered from typical forensic and archaeological settings, but also in cases of mass disasters, human rights violations, and armed conflicts, which often result in a high number of casualties and commingled remains. Therefore, techniques utilizing the dentition to estimate the age-at-death can be critical when trying to establish a person's" @default.
- W2766102161 created "2017-11-10" @default.
- W2766102161 creator A5030219302 @default.
- W2766102161 creator A5053956594 @default.
- W2766102161 date "2008-01-01" @default.
- W2766102161 modified "2023-09-27" @default.
- W2766102161 title "A Bayesian Approach to Estimate Skeletal Age-at-Death Utilizing Dental Wear" @default.
- W2766102161 cites W119236997 @default.
- W2766102161 cites W148450838 @default.
- W2766102161 cites W1486589344 @default.
- W2766102161 cites W1553439038 @default.
- W2766102161 cites W1694812211 @default.
- W2766102161 cites W1843474053 @default.
- W2766102161 cites W1968559723 @default.
- W2766102161 cites W1979095251 @default.
- W2766102161 cites W1988835942 @default.
- W2766102161 cites W2001732373 @default.
- W2766102161 cites W2002115107 @default.
- W2766102161 cites W2006650925 @default.
- W2766102161 cites W2008944267 @default.
- W2766102161 cites W2017335670 @default.
- W2766102161 cites W2017763685 @default.
- W2766102161 cites W2021413785 @default.
- W2766102161 cites W2025028485 @default.
- W2766102161 cites W2032245997 @default.
- W2766102161 cites W2032960260 @default.
- W2766102161 cites W2040023151 @default.
- W2766102161 cites W2047395888 @default.
- W2766102161 cites W2051158571 @default.
- W2766102161 cites W2057974072 @default.
- W2766102161 cites W2060202272 @default.
- W2766102161 cites W2069541593 @default.
- W2766102161 cites W2072712775 @default.
- W2766102161 cites W2079449242 @default.
- W2766102161 cites W2084591154 @default.
- W2766102161 cites W2097595750 @default.
- W2766102161 cites W2101264746 @default.
- W2766102161 cites W2101487804 @default.
- W2766102161 cites W2104612289 @default.
- W2766102161 cites W2117785162 @default.
- W2766102161 cites W2142103596 @default.
- W2766102161 cites W2167162296 @default.
- W2766102161 cites W305688962 @default.
- W2766102161 cites W3107126654 @default.
- W2766102161 cites W9964340 @default.
- W2766102161 hasPublicationYear "2008" @default.
- W2766102161 type Work @default.
- W2766102161 sameAs 2766102161 @default.
- W2766102161 citedByCount "0" @default.
- W2766102161 crossrefType "journal-article" @default.
- W2766102161 hasAuthorship W2766102161A5030219302 @default.
- W2766102161 hasAuthorship W2766102161A5053956594 @default.
- W2766102161 hasConcept C105795698 @default.
- W2766102161 hasConcept C107673813 @default.
- W2766102161 hasConcept C134463574 @default.
- W2766102161 hasConcept C144024400 @default.
- W2766102161 hasConcept C149923435 @default.
- W2766102161 hasConcept C166957645 @default.
- W2766102161 hasConcept C176979668 @default.
- W2766102161 hasConcept C205649164 @default.
- W2766102161 hasConcept C2779343474 @default.
- W2766102161 hasConcept C2908647359 @default.
- W2766102161 hasConcept C33923547 @default.
- W2766102161 hasConceptScore W2766102161C105795698 @default.
- W2766102161 hasConceptScore W2766102161C107673813 @default.
- W2766102161 hasConceptScore W2766102161C134463574 @default.
- W2766102161 hasConceptScore W2766102161C144024400 @default.
- W2766102161 hasConceptScore W2766102161C149923435 @default.
- W2766102161 hasConceptScore W2766102161C166957645 @default.
- W2766102161 hasConceptScore W2766102161C176979668 @default.
- W2766102161 hasConceptScore W2766102161C205649164 @default.
- W2766102161 hasConceptScore W2766102161C2779343474 @default.
- W2766102161 hasConceptScore W2766102161C2908647359 @default.
- W2766102161 hasConceptScore W2766102161C33923547 @default.
- W2766102161 hasLocation W27661021611 @default.
- W2766102161 hasOpenAccess W2766102161 @default.
- W2766102161 hasPrimaryLocation W27661021611 @default.
- W2766102161 hasRelatedWork W1979979268 @default.
- W2766102161 hasRelatedWork W2022731602 @default.
- W2766102161 hasRelatedWork W2050044277 @default.
- W2766102161 hasRelatedWork W2123131311 @default.
- W2766102161 hasRelatedWork W2130935244 @default.
- W2766102161 hasRelatedWork W2164459333 @default.
- W2766102161 hasRelatedWork W2184196128 @default.
- W2766102161 hasRelatedWork W2281297390 @default.
- W2766102161 hasRelatedWork W2303538306 @default.
- W2766102161 hasRelatedWork W2335330066 @default.
- W2766102161 hasRelatedWork W2740666913 @default.
- W2766102161 hasRelatedWork W2775062000 @default.
- W2766102161 hasRelatedWork W2791107009 @default.
- W2766102161 hasRelatedWork W2808326666 @default.
- W2766102161 hasRelatedWork W2907568924 @default.
- W2766102161 hasRelatedWork W2922082213 @default.
- W2766102161 hasRelatedWork W3137475921 @default.
- W2766102161 hasRelatedWork W2295549938 @default.
- W2766102161 hasRelatedWork W2894140995 @default.
- W2766102161 hasRelatedWork W3152432425 @default.
- W2766102161 isParatext "false" @default.
- W2766102161 isRetracted "false" @default.
- W2766102161 magId "2766102161" @default.