Method. The study makes use of a matched-pairs research design, where obese claims are matched with comparable non-obese claims in the data set. Exact matching applies to all claim characteristics, except age at injury, where proximity matching is employed. The set of matched pairs is then analyzed using a semiparametric Bayesian Weibull proportional hazard model, the nonparametric component of which accounts for the possible nonlinear influence of age. Aside from age, an indicator variable signifying obesity is the only covariate in the model—this is because net of these two covariates (and duration, which serves as the dependent variable), the claims within each set of matched pairs are identical. The model is estimated by means of MCMC (Markov chain Monte Carlo simulation).
Results. The study shows that, based on Temporary Total and Permanent Total indemnity benefit payments, the duration of obese claimants is more than five times the duration of non-obese claimants, after controlling for primary ICD-9 code, injury year, US state, industry, gender, and age. When Permanent Partial benefits are counted toward indemnity benefit duration as well, this multiple climbs to more than six.
Availability. The model was implemented in R (cran.r-project .org/) using the sampling platform JAGS (Just Another Gibbs Sampler, mcmc-jags.sourceforge.net/). JAGS was linked to R by means of the R package rjags(cran.r-project.org/web/packages/rjags/index.html).
Keywords. Obesity, Duration, Proportional Hazard Model, Semiparametric Model, Workers Compensation