Weighted quantile regression for analyzing health care cost data with missing covariates.

@article{Sherwood2013WeightedQR,
  title={Weighted quantile regression for analyzing health care cost data with missing covariates.},
  author={Ben Sherwood and Lan Wang and Xiao-Hua Zhou},
  journal={Statistics in medicine},
  year={2013},
  volume={32 28},
  pages={4967-79}
}
Analysis of health care cost data is often complicated by a high level of skewness, heteroscedastic variances and the presence of missing data. Most of the existing literature on cost data analysis have been focused on modeling the conditional mean. In this paper, we study a weighted quantile regression approach for estimating the conditional quantiles health care cost data with missing covariates. The weighted quantile regression estimator is consistent, unlike the naive estimator, and… CONTINUE READING
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