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An adaptive Mantel–Haenszel test for sensitivity analysis in observational studies

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  • Paul R. Rosenbaum
  • Dylan S. Small

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  • Paul R. Rosenbaum & Dylan S. Small, 2017. "An adaptive Mantel–Haenszel test for sensitivity analysis in observational studies," Biometrics, The International Biometric Society, vol. 73(2), pages 422-430, June.
    • Handle: RePEc:bla:biomet:v:73:y:2017:i:2:p:422-430
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    File URL: http://hdl.handle.net/10.1111/biom.12591
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    References listed on IDEAS

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    1. 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.
    2. Paul R. Rosenbaum, 2004. "Design sensitivity in observational studies," Biometrika, Biometrika Trust, vol. 91(1), pages 153-164, March.
    3. Paul R. Rosenbaum, 2008. "Testing hypotheses in order," Biometrika, Biometrika Trust, vol. 95(1), pages 248-252.
    4. Bryan E. Shepherd & Peter B. Gilbert & Yannis Jemiai & Andrea Rotnitzky, 2006. "Sensitivity Analyses Comparing Outcomes Only Existing in a Subset Selected Post-Randomization, Conditional on Covariates, with Application to HIV Vaccine Trials," Biometrics, The International Biometric Society, vol. 62(2), pages 332-342, June.
    5. Jesse Y. Hsu & Dylan S. Small & Paul R. Rosenbaum, 2013. "Effect Modification and Design Sensitivity in Observational Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(501), pages 135-148, March.
    6. Paul R. Rosenbaum, 2016. "The cross-cut statistic and its sensitivity to bias in observational studies with ordered doses of treatment," Biometrics, The International Biometric Society, vol. 72(1), pages 175-183, March.
    7. Dylan S. Small & Jing Cheng & M. Elizabeth Halloran & Paul R. Rosenbaum, 2013. "Case Definition and Design Sensitivity," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(504), pages 1457-1468, December.
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    Cited by:

    1. Bo Zhang & Eric J. Tchetgen Tchetgen, 2022. "A semi‐parametric approach to model‐based sensitivity analysis in observational studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 668-691, December.
    2. 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.

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