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Prediction models to identify workers at risk of sick leave..:
Bosman, Lisa C
;
Dijkstra, Lyan
;
Joling, Catelijne I
...
Scandinavian Journal of Work, Environment & Health. 44 (2018) 2 - p. 156-162 , 2018
Link:
https://www.jstor.org/stable/44708786
RT Journal T1 <Title>Prediction models to identify workers at risk of sick leave due to low-back pain in the Dutch construction industry</Title> UL https://suche.suub.uni-bremen.de/peid=jstor-44708786&Exemplar=1&LAN=DE A1 Bosman, Lisa C A1 Dijkstra, Lyan A1 Joling, Catelijne I A1 Heymans, Martijn W A1 Twisk, Jos WR A1 Roelen, Corné AM PB NOROSH Nordic Association of Occupational Safety and health YR 2018 SN 0355-3140 SN 1795-990X JF Scandinavian Journal of Work, Environment & Health VO 44 IS 2 SP 156 OP 162 LK http://dx.doi.org/https://www.jstor.org/stable/44708786 DO https://www.jstor.org/stable/44708786 SF ELIB - SuUB Bremen
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