The development and validation of two prediction models to identify employees at risk of high sickness absence

C.A.M. Roelen, W. van Rhenen, J.W. Groothoff, J.J. Klink, U. Bultmann, M.W. Heijmans

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)128-133
JournalEuropean Journal of Public Health
Volume23
Issue number1
DOIs
Publication statusPublished - 2013

Cite this

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title = "The development and validation of two prediction models to identify employees at risk of high sickness absence",
author = "C.A.M. Roelen and {van Rhenen}, W. and J.W. Groothoff and J.J. Klink and U. Bultmann and M.W. Heijmans",
year = "2013",
doi = "10.1093/eurpub/cks036",
language = "English",
volume = "23",
pages = "128--133",
journal = "European Journal of Public Health",
issn = "1101-1262",
publisher = "Oxford University Press",
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The development and validation of two prediction models to identify employees at risk of high sickness absence. / Roelen, C.A.M.; van Rhenen, W.; Groothoff, J.W.; Klink, J.J.; Bultmann, U.; Heijmans, M.W.

In: European Journal of Public Health, Vol. 23, No. 1, 2013, p. 128-133.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - The development and validation of two prediction models to identify employees at risk of high sickness absence

AU - Roelen, C.A.M.

AU - van Rhenen, W.

AU - Groothoff, J.W.

AU - Klink, J.J.

AU - Bultmann, U.

AU - Heijmans, M.W.

PY - 2013

Y1 - 2013

U2 - 10.1093/eurpub/cks036

DO - 10.1093/eurpub/cks036

M3 - Article

VL - 23

SP - 128

EP - 133

JO - European Journal of Public Health

JF - European Journal of Public Health

SN - 1101-1262

IS - 1

ER -