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Impact of Multiple Matched Controls on Design Sensitivity in Observational Studies

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  • Paul R. Rosenbaum

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  • Paul R. Rosenbaum, 2013. "Impact of Multiple Matched Controls on Design Sensitivity in Observational Studies," Biometrics, The International Biometric Society, vol. 69(1), pages 118-127, March.
    • Handle: RePEc:bla:biomet:v:69:y:2013:i:1:p:118-127
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2012.01821.x
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    References listed on IDEAS

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    1. Kewei Ming & Paul R. Rosenbaum, 2000. "Substantial Gains in Bias Reduction from Matching with a Variable Number of Controls," Biometrics, The International Biometric Society, vol. 56(1), pages 118-124, March.
    2. Peter B. Gilbert & Ronald J. Bosch & Michael G. Hudgens, 2003. "Sensitivity Analysis for the Assessment of Causal Vaccine Effects on Viral Load in HIV Vaccine Trials," Biometrics, The International Biometric Society, vol. 59(3), pages 531-541, September.
    3. Lu, Bo & Greevy, Robert & Xu, Xinyi & Beck, Cole, 2011. "Optimal Nonbipartite Matching and Its Statistical Applications," The American Statistician, American Statistical Association, vol. 65(1), pages 21-30.
    4. Paul R. Rosenbaum, 2004. "Design sensitivity in observational studies," Biometrika, Biometrika Trust, vol. 91(1), pages 153-164, March.
    5. Paul R. Rosenbaum, 2007. "Sensitivity Analysis for m-Estimates, Tests, and Confidence Intervals in Matched Observational Studies," Biometrics, The International Biometric Society, vol. 63(2), pages 456-464, June.
    6. Sue M. Marcus, 1997. "Using Omitted Variable Bias to Assess Uncertainty in the Estimation of an AIDS Education Treatment Effect," Journal of Educational and Behavioral Statistics, , vol. 22(2), pages 193-201, June.
    7. Brian L. Egleston & Daniel O. Scharfstein & Ellen MacKenzie, 2009. "On Estimation of the Survivor Average Causal Effect in Observational Studies When Important Confounders Are Missing Due to Death," Biometrics, The International Biometric Society, vol. 65(2), pages 497-504, June.
    8. Joseph L. Gastwirth & Abba M. Krieger & Paul R. Rosenbaum, 2000. "Asymptotic separability in sensitivity analysis," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(3), pages 545-555.
    9. Rosenbaum, Paul R. & Silber, Jeffrey H., 2009. "Amplification of Sensitivity Analysis in Matched Observational Studies," Journal of the American Statistical Association, American Statistical Association, vol. 104(488), pages 1398-1405.
    10. Heller, Ruth & Rosenbaum, Paul R. & Small, Dylan S., 2010. "Using the Cross-Match Test to Appraise Covariate Balance in Matched Pairs," The American Statistician, American Statistical Association, vol. 64(4), pages 299-309.
    11. Rosenbaum, Paul R., 2011. "Some Approximate Evidence Factors in Observational Studies," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 285-295.
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    Cited by:

    1. Paul R. Rosenbaum, 2015. "Some Counterclaims Undermine Themselves in Observational Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1389-1398, December.
    2. Colin B. Fogarty, 2023. "Testing weak nulls in matched observational studies," Biometrics, The International Biometric Society, vol. 79(3), pages 2196-2207, September.
    3. Ngougheme, Rene & Kamdem, Cyrille Bergaly & Jagoret, Patrick & Havard, Michel, 2016. "Impact de la certification sur les performances agro-economiques des producteurs de cacao du centre Cameroun," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 249294, African Association of Agricultural Economists (AAAE).
    4. Siyu Heng & Hyunseung Kang & Dylan S. Small & Colin B. Fogarty, 2021. "Increasing power for observational studies of aberrant response: An adaptive approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(3), pages 482-504, July.
    5. Samuel D. Pimentel & Dylan S. Small & Paul R. Rosenbaum, 2016. "Constructed Second Control Groups and Attenuation of Unmeasured Biases," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 1157-1167, July.

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