Analysis of workers’ compensation claims data for machine-related injuries in metal fabrication businesses

2016 ◽  
Vol 59 (8) ◽  
pp. 656-664 ◽  
Author(s):  
Samuel C. Yamin ◽  
Anca Bejan ◽  
David L. Parker ◽  
Min Xi ◽  
Lisa M. Brosseau
Keyword(s):  
Claims Data ◽  
Workers Compensation ◽  
Metal Fabrication ◽  
Compensation Claims

scholarly journals Collider bias in administrative workers’ compensation claims data: A challenge for cross-jurisdictional research

2021 ◽  
Author(s):  
Tyler J Lane
Keyword(s):  
Work Disability ◽  
Claims Data ◽  
Occupational Injuries ◽  
Simulated Data ◽  
Workers Compensation ◽  
Compensation Systems ◽  
Compensation Claims ◽  
Analytical Approaches ◽  
Collider Bias ◽  
State Territory

Abstract Purpose Workers’ compensation claims consist of occupational injuries severe enough to meet a compensability threshold. Theoretically, systems with higher thresholds should have fewer claims but greater average severity. For research that relies on claims data, particularly cross-jurisdictional comparisons of compensation systems, this results in collider bias that can lead to spurious associations and confound analyses. In this study, I use real and simulated claims data to demonstrate collider bias and problems with methods used to account for it. Methods Using Australian claims data, I used a linear regression to test the association between claim rate and mean disability durations across Statistical Areas. Analyses were repeated with nesting by state/territory to account for variations in compensability thresholds across compensation systems. Both analyses are repeated on left-censored data. Simulated claims data are analysed with Cox survival analyses to illustrate how left-censoring can reverse effects.Results The claim rate within a Statistical Area was inversely associated with disability duration. However, this reversed when Statistical Areas were nested by state/territory. Left-censoring resulted in an attenuation of the unnested association to non-significance, while the nested association remained significantly positive. Cox regressions on simulated data showed left-censoring can also reverse effects. Conclusions Collider bias can seriously confound work disability research, particularly cross-jurisdictional comparisons. Work disability researchers must grapple with this challenge by using appropriate study designs and analytical approaches, and considering how collider bias affects interpretation of results.

Evaluation of the burden of logging injuries using West Virginia workers' compensation claims data from 1996 to 2001

2006 ◽  
Vol 49 (12) ◽  
pp. 1039-1045 ◽  
Author(s):  
Priscah Mujuru ◽  
Lisa Singla ◽  
James Helmkamp ◽  
Jennifer Bell ◽  
Wen Hu
Keyword(s):  
West Virginia ◽  
Claims Data ◽  
Workers Compensation ◽  
Compensation Claims

scholarly journals Using Workers' Compensation Claims Data to Describe Nonfatal Injuries among Workers in Alaska

2020 ◽  
Vol 11 (2) ◽  
pp. 165-172
Author(s):  
Devin L. Lucas ◽  
Jennifer R. Lee ◽  
Kyle M. Moller ◽  
Mary B. O'Connor ◽  
Laura N. Syron ◽  
...  
Keyword(s):  
Claims Data ◽  
Workers Compensation ◽  
Compensation Claims ◽  
Nonfatal Injuries
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