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A Causal Proportional Hazards Estimator for the Effect of Treatment Actually Received in a Randomized Trial with All-or-Nothing Compliance

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  • T. Loeys
  • E. Goetghebeur

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  • T. Loeys & E. Goetghebeur, 2003. "A Causal Proportional Hazards Estimator for the Effect of Treatment Actually Received in a Randomized Trial with All-or-Nothing Compliance," Biometrics, The International Biometric Society, vol. 59(1), pages 100-105, March.
    • Handle: RePEc:bla:biomet:v:59:y:2003:i:1:p:100-105
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    File URL: http://hdl.handle.net/10.1111/1541-0420.00012
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    References listed on IDEAS

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    1. Thomas R. Fleming & D. Y. Lin, 2000. "Survival Analysis in Clinical Trials: Past Developments and Future Directions," Biometrics, The International Biometric Society, vol. 56(4), pages 971-983, December.
    2. Hernan M. A & Brumback B. & Robins J. M, 2001. "Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 440-448, June.
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    Cited by:

    1. Shengli An & Peter Zhang & Hong-Bin Fang, 2023. "Subgroup Identification in Survival Outcome Data Based on Concordance Probability Measurement," Mathematics, MDPI, vol. 11(13), pages 1-10, June.
    2. Lois G. Kim & Ian R. White, 2004. "Compliance-adjusted intervention effects in survival data," Stata Journal, StataCorp LP, vol. 4(3), pages 257-264, September.
    3. Bo Wei & Limin Peng & Mei‐Jie Zhang & Jason P. Fine, 2021. "Estimation of causal quantile effects with a binary instrumental variable and censored data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(3), pages 559-578, July.
    4. Hui Nie & Jing Cheng & Dylan S. Small, 2011. "Inference for the Effect of Treatment on Survival Probability in Randomized Trials with Noncompliance and Administrative Censoring," Biometrics, The International Biometric Society, vol. 67(4), pages 1397-1405, December.
    5. Ditte Nørbo Sørensen & Torben Martinussen & Eric Tchetgen Tchetgen, 2019. "A causal proportional hazards estimator under homogeneous or heterogeneous selection in an IV setting," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(4), pages 639-659, October.
    6. L. Altstein & G. Li, 2013. "Latent Subgroup Analysis of a Randomized Clinical Trial through a Semiparametric Accelerated Failure Time Mixture Model," Biometrics, The International Biometric Society, vol. 69(1), pages 52-61, March.
    7. Jaeun Choi & A. James O'Malley, 2017. "Estimating the causal effect of treatment in observational studies with survival time end points and unmeasured confounding," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(1), pages 159-185, January.
    8. William Liu, 2023. "A Theory Guide to Using Control Functions to Instrument Hazard Models," Papers 2312.03165, arXiv.org.
    9. Linbo Wang & Eric Tchetgen Tchetgen & Torben Martinussen & Stijn Vansteelandt, 2023. "Instrumental variable estimation of the causal hazard ratio," Biometrics, The International Biometric Society, vol. 79(2), pages 539-550, June.
    10. Sudipta Saha & Zhihui Liu & Olli Saarela, 2021. "Instrumental variable estimation of early treatment effect in randomized screening trials," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 27(4), pages 537-560, October.
    11. Shuwei Li & Limin Peng, 2023. "Instrumental variable estimation of complier causal treatment effect with interval‐censored data," Biometrics, The International Biometric Society, vol. 79(1), pages 253-263, March.
    12. Jialiang Li & Jason Fine & Alan Brookhart, 2015. "Instrumental variable additive hazards models," Biometrics, The International Biometric Society, vol. 71(1), pages 122-130, March.

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