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International Archives of Occupational and Environmental Health

, 82:575

First Online: 21 October 2008Received: 26 November 2007Accepted: 29 September 2008

Abstract

PurposeIn research on the time to onset of sickness absence and the duration of sickness absence episodes, Cox proportional hazard models are in common use. However, parametric models are to be preferred when time in itself is considered as independent variable. This study compares parametric hazard rate models for the onset of long-term sickness absence and return to work.

MethodProspective cohort study on sickness absence with four follow-up years of 53,830 employees working in the private sector in the Netherlands. The time to onset of long-term >6 weeks sickness absence and return to work were modelled by parametric hazard rate models.

ResultsThe exponential parametric model with a constant hazard rate most accurately described the time to onset of long-term sickness absence. Gompertz–Makeham models with monotonically declining hazard rates best described return to work.

ConclusionsParametric models offer more possibilities than commonly used models for time-dependent processes as sickness absence and return to work. However, the advantages of parametric models above Cox models apply mainly for return to work and less for onset of long-term sickness absence.

KeywordsMethodology Long-term sickness absence Parametric models Survival analysis Cox proportional hazards model Register data  Download fulltext PDF



Author: Petra C. Koopmans - Corné A. M. Roelen - Johan W. Groothoff

Source: https://link.springer.com/







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