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How well can post-traumatic stress disorder be predicted from pre-trauma risk factors? An exploratory study in the WHO World Mental Health Surveys
(Wiley, 2014)
Post-traumatic stress disorder (PTSD) should be one of the most preventable mental disorders, since many people exposed to traumatic experiences (TEs) could be targeted in first response settings in the immediate aftermath ...
Use of ridge regression for the prediction of early growth performance in crossbred calves
(Sociedade Brasileira de Genética, 2007-01-01)
The problem of multicollinearity in regression analysis was studied. Ridge regression (RR) techniques were used to estimate parameters affecting the performance of crossbred calves raised in tropical and subtropical regions ...
Use of ridge regression for the prediction of early growth performance in crossbred calves
(Sociedade Brasileira de Genética, 2007-01-01)
The problem of multicollinearity in regression analysis was studied. Ridge regression (RR) techniques were used to estimate parameters affecting the performance of crossbred calves raised in tropical and subtropical regions ...
Use of ridge regression for the prediction of early growth performance in crossbred calves
(Soc Brasil Genetica, 2007-09-01)
The problem of multicollinearity in regression analysis was studied. Ridge regression (RR) techniques were used to estimate parameters affecting the performance of crossbred calves raised in tropical and subtropical regions ...
Estimativas de efeitos genéticos em bezerros cruzados por diferentes modelos e métodos de estimação
(Sociedade Brasileira de Zootecnia, 2014)
Maximum a posteriori Threshold Genomic Prediction model for ordinal traits
(Genetics Society of America, 2020)
Prediction of biological age and evaluation of genome-wide dynamic methylomic changes throughout human aging
(2021-07-01)
The use of DNA methylation signatures to predict chronological age and aging rate is of interest in many fields, including disease prevention and treatment, forensics, and anti-aging medicine. Although a large number of ...
Regressão logística sob o ponto de vista inferencial e preditivista
(Universidade Federal de Juiz de Fora (UFJF)BrasilICE – Instituto de Ciências ExatasUFJF, 2021)
Error Covariance Penalized Regression: A novel multivariate model combining penalized regression with multivariate error structure
(Elsevier Science, 2018-06)
A new multivariate regression model, named Error Covariance Penalized Regression (ECPR) is presented. Following a penalized regression strategy, the proposed model incorporates information about the measurement error ...