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Using Multiple Comparison Groups to Address Unobserved Biases in Comparative Effectiveness Research

Author

Listed:
  • Frank B. Yoon
  • Haiden A. Huskamp
  • Alisa B. Busch
  • Sharon-Lise T. Normand

Abstract

Studies of large policy interventions typically do not involve randomization. Adjustments, such as matching, can remove the bias due to observed covariates, but residual confounding remains a concern.

Suggested Citation

  • Frank B. Yoon & Haiden A. Huskamp & Alisa B. Busch & Sharon-Lise T. Normand, "undated". "Using Multiple Comparison Groups to Address Unobserved Biases in Comparative Effectiveness Research," Mathematica Policy Research Reports ab6e894fd5674b83941997657, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:ab6e894fd5674b83941997657990b29d
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    File URL: http://rd.springer.com/article/10.1007/s12561-011-9035-4
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