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Bias and Sensitivity Analysis When Estimating Treatment Effects from the Cox Model with Omitted Covariates

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  • Nan Xuan Lin
  • Stuart Logan
  • William Edward Henley

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  • Nan Xuan Lin & Stuart Logan & William Edward Henley, 2013. "Bias and Sensitivity Analysis When Estimating Treatment Effects from the Cox Model with Omitted Covariates," Biometrics, The International Biometric Society, vol. 69(4), pages 850-860, December.
    • Handle: RePEc:bla:biomet:v:69:y:2013:i:4:p:850-860
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    File URL: http://hdl.handle.net/10.1111/biom.12096
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    References listed on IDEAS

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    1. Tyler J. VanderWeele, 2008. "Sensitivity Analysis: Distributional Assumptions and Confounding Assumptions," Biometrics, The International Biometric Society, vol. 64(2), pages 645-649, June.
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    Cited by:

    1. Monnery, Benjamin & Wolff, François-Charles & Henneguelle, Anaïs, 2020. "Prison, semi-liberty and recidivism: Bounding causal effects in a survival model," International Review of Law and Economics, Elsevier, vol. 61(C).
    2. Igor Burstyn & Francesco Barone-Adesi & Frank de Vocht & Paul Gustafson, 2019. "What to Do When Accumulated Exposure Affects Health but Only Its Duration Was Measured? A Case of Linear Regression," IJERPH, MDPI, vol. 16(11), pages 1-16, May.
    3. Byeong Yeob Choi & Jason P. Fine & Roman Fernandez & M. Alan Brookhart, 2022. "Alternative sensitivity analyses for regression estimates of treatment effects to unobserved confounding in binary and survival data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 637-659, September.
    4. Marc Buyse & Everardo D. Saad & Tomasz Burzykowski & Julien Péron, 2020. "Assessing Treatment Benefit in Immuno-oncology," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 12(2), pages 83-103, July.

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