Generalizing observational study results: applying propensity score methods to complex surveys.

@article{Dugoff2014GeneralizingOS,
  title={Generalizing observational study results: applying propensity score methods to complex surveys.},
  author={Eva H Dugoff and Megan S. Schuler and Elizabeth A. Stuart},
  journal={Health services research},
  year={2014},
  volume={49 1},
  pages={284-303}
}
OBJECTIVE To provide a tutorial for using propensity score methods with complex survey data. DATA SOURCES Simulated data and the 2008 Medical Expenditure Panel Survey. STUDY DESIGN Using simulation, we compared the following methods for estimating the treatment effect: a naïve estimate (ignoring both survey weights and propensity scores), survey weighting, propensity score methods (nearest neighbor matching, weighting, and subclassification), and propensity score methods in combination with… CONTINUE READING
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