Predicting future changes in the work ability of individuals receiving a work disability benefit: weighted analysis of longitudinal data

Predicting future changes in the work ability of individuals receiving a work disability benefit: weighted analysis of longitudinal data

OBJECTIVES: Weighted regression procedures can be an efficient solution for cohort studies that involve rare events or diseases, which can be difficult to predict, allowing for more accurate prediction of cases of interest. The aims of this study were to (i) predict changes in work ability at one ye...

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Bibliographic Details
Main Authors:	Ilse Louwerse, Maaike A Huysmans, Jolanda HJ van Rijssen, Frederieke G Schaafsma, Kristel HN Weerdesteijn, Allard J van der Beek, Johannes R Anema
Format:	Article
Language:	English
Published:	Nordic Association of Occupational Safety and Health (NOROSH) 2020-03-01
Series:	Scandinavian Journal of Work, Environment & Health
Subjects:	work ability prognosis work disability longitudinal data disability benefit work disability benefit weighted analysis work disability allowance weighted multinomial logit model rare event
Online Access:	https://www.sjweh.fi/show_abstract.php?abstract_id=3834

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