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Inference for the Effect of Treatment on Survival Probability in Randomized Trials with Noncompliance and Administrative Censoring

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  • Hui Nie
  • Jing Cheng
  • Dylan S. Small

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  • 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.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:4:p:1397-1405
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01575.x
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    References listed on IDEAS

    as
    1. Jing Cheng & Dylan S. Small & Zhiqiang Tan & Thomas R. Ten Have, 2009. "Efficient nonparametric estimation of causal effects in randomized trials with noncompliance," Biometrika, Biometrika Trust, vol. 96(1), pages 19-36.
    2. 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.
    3. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    4. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    5. Jing Cheng & Dylan S. Small, 2006. "Bounds on causal effects in three‐arm trials with non‐compliance," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(5), pages 815-836, November.
    6. Jing Cheng & Jing Qin & Biao Zhang, 2009. "Semiparametric estimation and inference for distributional and general treatment effects," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(4), pages 881-904, September.
    7. Jack Cuzick & Peter Sasieni & Jonathan Myles & Jonathan Tyrer, 2007. "Estimating the effect of treatment in a proportional hazards model in the presence of non‐compliance and contamination," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(4), pages 565-588, September.
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    Citations

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    Cited by:

    1. Stuart G. Baker, 2012. "Comment on Nie et al. (2011), Biometrics, Early View," Biometrics, The International Biometric Society, vol. 68(3), pages 992-992, September.
    2. Matthias Brueckner & Andrew Titman & Thomas Jaki, 2019. "Instrumental variable estimation in semi‐parametric additive hazards models," Biometrics, The International Biometric Society, vol. 75(1), pages 110-120, March.
    3. Hui Nie & Jing Cheng & Dylan S. Small, 2012. "Reply to Baker’s “Letter to the Editor ‘Comments on Nie et al. (2011), Biometrics, Early View’ ”," Biometrics, The International Biometric Society, vol. 68(3), pages 992-992, September.
    4. 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.
    5. 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.
    6. 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.
    7. Torben Martinussen & Stijn Vansteelandt & Eric J. Tchetgen Tchetgen & David M. Zucker, 2017. "Instrumental variables estimation of exposure effects on a time‐to‐event endpoint using structural cumulative survival models," Biometrics, The International Biometric Society, vol. 73(4), pages 1140-1149, December.
    8. 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.
    9. 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.
    10. Hui Nie & Jing Cheng & Dylan S. Small, 2012. "Reply to Baker’s “Letter to the Editor ‘Comments on Nie et al. (2011), Biometrics, Early View’ ”," Biometrics, The International Biometric Society, vol. 68(3), pages 992-992, September.

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