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http://dx.doi.org/10.7465/jkdi.2015.26.6.1271

Statistical analysis of economic activity state of workers with industrial injuries using a competing risk model  

Doh, Gippeum (Department of Statistics, Sookmyung Women's University)
Kim, Sooyeon (Department of Statistics, Sookmyung Women's University)
Kim, Yang-Jin (Department of Statistics, Sookmyung Women's University)
Publication Information
Journal of the Korean Data and Information Science Society / v.26, no.6, 2015 , pp. 1271-1281 More about this Journal
Abstract
Competing risk analysis is widely applied to analyze a failure time with more than two causes. This paper discusses the application of a competing risk model to a economic activity state of workers with occupational injuries. In particular, main interest is to estimate the distribution of restarting time two kinds of economic activities, (i) returning to original working place and (ii) finding a new job. In this paper, we applied a cumulative incidence function to evaluate their patterns under several individual factors and working place's factor. Furthermore, a subdistributional regression model is applied to estimate the effect of these factors on the returning time. According to result, worker with higher education, younger age and longer working period had a higher chance to return an original working place while one with more severe injuries and skilled laborer had longer returning time to an original working place.
Keywords
Competing risk model; cumulative incidence function; economic activity state; industrial injuries;
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Times Cited By KSCI : 2  (Citation Analysis)
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