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Sensitivity Analysis for m-Estimates, Tests, and Confidence Intervals in Matched Observational Studies

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  • Paul R. Rosenbaum

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  • 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.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:2:p:456-464
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2006.00717.x
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    References listed on IDEAS

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    1. Guildo W. Imbens, 2003. "Sensitivity to Exogeneity Assumptions in Program Evaluation," American Economic Review, American Economic Association, vol. 93(2), pages 126-132, May.
    2. John Copas & Shinto Eguchi, 2001. "Local sensitivity approximations for selectivity bias," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(4), pages 871-895.
    3. 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.
    4. Greevy, Robert & Silber, Jeffrey H. & Cnaan, Avital & Rosenbaum, Paul R., 2004. "Randomization Inference With Imperfect Compliance in the ACE-Inhibitor After Anthracycline Randomized Trial," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 7-15, January.
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    Cited by:

    1. Omar Isaac Asensio & Olga Churkina & Becky D. Rafter & Kira E. O’Hare, 2024. "Housing policies and energy efficiency spillovers in low and moderate income communities," Nature Sustainability, Nature, vol. 7(5), pages 590-601, May.
    2. Armstrong, Christopher S. & Blouin, Jennifer L. & Larcker, David F., 2012. "The incentives for tax planning," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 391-411.
    3. Raiden B. Hasegawa & Sameer K. Deshpande & Dylan S. Small & Paul R. Rosenbaum, 2020. "Causal Inference With Two Versions of Treatment," Journal of Educational and Behavioral Statistics, , vol. 45(4), pages 426-445, August.
    4. 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.
    5. Alaina Barca & Larry Santucci & Leigh-Ann Schultz, 2022. "Foreclosure Kids: Examining the Early Adult Credit Usage of Adolescents Affected by Foreclosure," Working Papers 22-21, Federal Reserve Bank of Philadelphia.
    6. Haensch, Anna-Carolina & Drechsler, Jörg & Bernhard, Sarah, 2020. "TippingSens: An R Shiny Application to Facilitate Sensitivity Analysis for Causal Inference Under Confounding," IAB-Discussion Paper 202029, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. 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.
    8. Ruoqi Yu, 2021. "Evaluating and improving a matched comparison of antidepressants and bone density," Biometrics, The International Biometric Society, vol. 77(4), pages 1276-1288, December.
    9. Shamsheer ul Haq & Ismet Boz & Pomi Shahbaz, 2021. "Adoption of climate-smart agriculture practices and differentiated nutritional outcome among rural households: a case of Punjab province, Pakistan," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(4), pages 913-931, August.
    10. 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.
    11. Andre Rossi Oliveira, 2024. "Evaluating the Short-term Causal Effect of Early Alert on Student Performance," Research in Higher Education, Springer;Association for Institutional Research, vol. 65(7), pages 1395-1419, November.
    12. Paul R. Rosenbaum, 2015. "Bahadur Efficiency of Sensitivity Analyses in Observational Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 205-217, March.
    13. 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.
    14. Donohoe, Michael P., 2015. "The economic effects of financial derivatives on corporate tax avoidance," Journal of Accounting and Economics, Elsevier, vol. 59(1), pages 1-24.
    15. Paul R. Rosenbaum, 2023. "Sensitivity analyses informed by tests for bias in observational studies," Biometrics, The International Biometric Society, vol. 79(1), pages 475-487, March.
    16. Armstrong, Christopher S. & Ittner, Christopher D. & Larcker, David F., 2010. "Corporate Governance, Compensation Consultants, and CEO Pay Levels," Research Papers 2068, Stanford University, Graduate School of Business.
    17. Kwonsang Lee & Dylan S. Small & Paul R. Rosenbaum, 2018. "A powerful approach to the study of moderate effect modification in observational studies," Biometrics, The International Biometric Society, vol. 74(4), pages 1161-1170, December.

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