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Logistic regression representing the associations between the characteristics of participants and test for SARS-COV-2 among people without having contact with someone tested positi...
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Overview of the procedure followed to reduce class imbalance (equalization strategy).
Logistic regression representing the associations between the characteristics of participants and test outcome for SARS-COV-2 infection.
Baseline characteristics of participants stratified into SARS-COV-2 positive and negative.
Overall performance of machine learning algorithms by AUCs for the 8 subsets.
Proportion of predicted values averaged for 4 subsets.
Differential item functioning graphs.
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Data material.
Item threshold map of the BAT12 items and thresholds ordering on a logit scale (higher value indicates higher burnout) of the Burnout Assessment Tool.
The item characteristic curve of item MD1 (I struggle to find any enthusiasm for my work)) for men and women.