Literature DB >> 30924529

Multivariate ordinal probit analysis in the skeletal assessment of sex.

Lyle W Konigsberg1, Susan R Frankenberg1.   

Abstract

Mesh：

Year:  2019        PMID： 30924529     DOI： 10.1002/ajpa.23832

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


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  3 in total

1.  Getting Rid of Dichotomous Sex Estimations: Why Logistic Regression Should be Preferred Over Discriminant Function Analysis.

Authors:  Bjørn Peare Bartholdy; Elena Sandoval; Menno L P Hoogland; Sarah A Schrader
Journal:  J Forensic Sci       Date:  2020-06-10       Impact factor: 1.832

2.  Efficiency of the Adjusted Binary Classification (ABC) Approach in Osteometric Sex Estimation: A Comparative Study of Different Linear Machine Learning Algorithms and Training Sample Sizes.

Authors:  MennattAllah Hassan Attia; Marwa A Kholief; Nancy M Zaghloul; Ivana Kružić; Šimun Anđelinović; Željana Bašić; Ivan Jerković
Journal:  Biology (Basel)       Date:  2022-06-15

3.  Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables.

Authors:  Efthymia Nikita; Panos Nikitas
Journal:  Int J Legal Med       Date:  2019-08-23       Impact factor: 2.686
  3 in total

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