Multivariate matching and bias reduction in the surgical outcomes study.

@article{Silber2001MultivariateMA,
  title={Multivariate matching and bias reduction in the surgical outcomes study.},
  author={Jeffrey H. Silber and Paul R. Rosenbaum and Martha E Trudeau and Orit Even-Shoshan and Wei Chen and Xuemei Zhang and Rachel E Mosher},
  journal={Medical care},
  year={2001},
  volume={39 10},
  pages={1048-64}
}
BACKGROUND Outcomes studies often need a level of detail that is not present in administrative data, therefore requiring abstraction of medical charts. Case-control methods may be used to improve statistical power and reduce abstraction costs, but limitations of exact matching often preclude the use of many covariates. Unlike exact matching, multivariate matching may allow cases to be matched simultaneously on hundreds of covariates. OBJECTIVES To develop multivariate matched case-control… CONTINUE READING