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Predicting long-term sickness absence among retail workers after four days of sick-listing
Author(s) -
Corné AM Roelen,
Erwin M. Speklé,
Birgit I. LissenbergWitte,
Martijn W. Heymans,
Willem van Rhenen,
Frederieke Schaafsma
Publication year - 2022
Publication title -
scandinavian journal of work, environment and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.621
H-Index - 103
eISSN - 1795-990X
pISSN - 0355-3140
DOI - 10.5271/sjweh.4041
Subject(s) - medicine , receiver operating characteristic , confidence interval , sick leave , sample (material) , test (biology) , demography , statistics , physical therapy , mathematics , biology , paleontology , chemistry , chromatography , sociology

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