2020
DOI: 10.1007/978-3-030-50943-9_40
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Identified Risk Factors Among Truck Drivers Circulating in France

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Cited by 2 publications
(1 citation statement)
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“…MCA is an exploratory multivariate data analysis method, which allows the simultaneous examination of multiple categorical variables and produces a map of the derived relationships, and as such it is applicable to the present dataset. Furthermore, this analytical instrument has been used extensively in health and transportation research ( Baireddy et al, 2018 ; Cavaignac and Petiot, 2017 ; Collazo, 2019 ; Das et al, 2020 ; Dias et al, 2019 ; Fan et al, 2020 ; Hamon 2020 ; Jalayer et al, 2018 ; Jimenez-Delgado et al, 2019 ; Leonardi et al, 2019 ; Millogo et al, 2021 ; Natarajan et al, 2020 ; Simoes et al, 2020 ). MCA provides a joint representation of row and column categories in the same dimensionality, which enables the identification of groups in proximity ( Hair et al, 2013 ).…”
Section: Methodsmentioning
confidence: 99%
“…MCA is an exploratory multivariate data analysis method, which allows the simultaneous examination of multiple categorical variables and produces a map of the derived relationships, and as such it is applicable to the present dataset. Furthermore, this analytical instrument has been used extensively in health and transportation research ( Baireddy et al, 2018 ; Cavaignac and Petiot, 2017 ; Collazo, 2019 ; Das et al, 2020 ; Dias et al, 2019 ; Fan et al, 2020 ; Hamon 2020 ; Jalayer et al, 2018 ; Jimenez-Delgado et al, 2019 ; Leonardi et al, 2019 ; Millogo et al, 2021 ; Natarajan et al, 2020 ; Simoes et al, 2020 ). MCA provides a joint representation of row and column categories in the same dimensionality, which enables the identification of groups in proximity ( Hair et al, 2013 ).…”
Section: Methodsmentioning
confidence: 99%