2008
DOI: 10.1007/s00420-008-0369-2
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Parametric hazard rate models for long-term sickness absence

Abstract: Purpose In 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. Method Prospective cohort study on sickness absence with four follow-up years of 53,830 employees working in the private sector in the Ne… Show more

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Cited by 9 publications
(6 citation statements)
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References 22 publications
(31 reference statements)
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“…The associations of age, gender and SEP with the time to RTW were analysed with parametric survival models, which account for the changing probability of RTW during SA [22][23]. Different types of parametric models can be distinguished based on the time dependence of the hazard function [23]. A Maximum Likelihood Method strategy [24], performed in Transition Data Analysis (TDA, version 6.4o), showed that log-normal models best fitted the probabilities of RTW in this study.…”
Section: Statisticsmentioning
confidence: 78%
See 1 more Smart Citation
“…The associations of age, gender and SEP with the time to RTW were analysed with parametric survival models, which account for the changing probability of RTW during SA [22][23]. Different types of parametric models can be distinguished based on the time dependence of the hazard function [23]. A Maximum Likelihood Method strategy [24], performed in Transition Data Analysis (TDA, version 6.4o), showed that log-normal models best fitted the probabilities of RTW in this study.…”
Section: Statisticsmentioning
confidence: 78%
“…RTW percentages were monitored for 2 years in each ICD-10 category. The associations of age, gender and SEP with the time to RTW were analysed with parametric survival models, which account for the changing probability of RTW during SA [22][23]. Different types of parametric models can be distinguished based on the time dependence of the hazard function [23].…”
Section: Statisticsmentioning
confidence: 99%
“…Time plays an important role in RTW, as the probability of resuming work decreases with increasing duration of sickness absence [25, 26]. Different types of parametric models can be distinguished, based on the time dependence of the hazard that is the probability of the event occurring [27, 28]. The hazard function reflects the baseline hazard for an average individual in the sample at any moment in time.…”
Section: Methodsmentioning
confidence: 99%
“…Log-rank tests were used to detect significant differences between the two survivor functions of each categorical variable. Third, parametric survival analysis [ 50 52 ] was applied to estimate coefficients with 95% CI for time to first RTW and full RTW after clinical discharge. For participants who did not return to work within the study period ( n = 9), data were right-censored.…”
Section: Methodsmentioning
confidence: 99%