Morphoscopic ancestry estimates in Filipino crania using multivariate probit regression models.
Sign Up to like & getrecommendations! Published in 2020 at "American journal of physical anthropology"
DOI: 10.1002/ajpa.24008
Abstract: OBJECTIVES Probit has not been applied to ancestry estimation in forensic anthropology. The goals of this study were to: (1) evaluate the performance of probit analysis as a classification tool for ancestry estimation using ordinal… read more here.
Keywords: anthropology; probit; filipino crania; multivariate probit ... See more keywords
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
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Legal Medicine"
DOI: 10.1007/s00414-019-02148-4
Abstract: The performance of seven classification methods, binary logistic (BLR), probit (PR) and cumulative probit (CPR) regression, linear (LDA) and quadratic (QDA) discriminant analysis, artificial neural networks (ANN), and naïve Bayes classification (NBC), is examined in… read more here.
Keywords: classification; probit; sex estimation; binary logistic ... See more keywords
Mixed cumulative probit: a multivariate generalization of transition analysis that accommodates variation in the shape, spread and structure of data
Sign Up to like & getrecommendations! Published in 2023 at "Royal Society Open Science"
DOI: 10.1098/rsos.220963
Abstract: Biological data are frequently nonlinear, heteroscedastic and conditionally dependent, and often researchers deal with missing data. To account for characteristics common in biological data in one algorithm, we developed the mixed cumulative probit (MCP), a… read more here.
Keywords: transition analysis; mixed cumulative; probit; cumulative probit ... See more keywords
Understanding the Geography of COVID-19 Case Fatality Rates in China: A Spatial Autoregressive Probit-Log Linear Hurdle Analysis
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2022.751768
Abstract: This study employs a spatial autoregressive probit-log linear (SAP-Log) hurdle model to investigate the influencing factors on the probability of death and case fatality rate (CFR) of coronavirus disease 2019 (COVID-19) at the city level… read more here.
Keywords: geography; probit; spatial autoregressive; probit log ... See more keywords