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One- and Two-Sample Nonparametric Inference Procedures in the Presence of Dependent Censoring

Author

Listed:
  • Yuhyun Park

    (Harvard University)

  • Lu Tian

    (Harvard University)

  • L. J. Wei

    (Harvard University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Yuhyun Park & Lu Tian & L. J. Wei, 2004. "One- and Two-Sample Nonparametric Inference Procedures in the Presence of Dependent Censoring," Harvard University Biostatistics Working Paper Series 1012, Berkeley Electronic Press.
    • Handle: RePEc:bep:hvdbio:1012
    Note: oai:bepress.com:harvardbiostat-1012
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    References listed on IDEAS

    as
    1. M. A. Goldwasser, 2004. "Statistical inference for infinite-dimensional parameters via asymptotically pivotal estimating functions," Biometrika, Biometrika Trust, vol. 91(1), pages 81-94, March.
    2. Daniel O. Scharfstein, 2002. "Estimation of the failure time distribution in the presence of informative censoring," Biometrika, Biometrika Trust, vol. 89(3), pages 617-634, August.
    3. Tianxi Cai & Rebecca A. Betensky, 2003. "Hazard Regression for Interval-Censored Data with Penalized Spline," Biometrics, The International Biometric Society, vol. 59(3), pages 570-579, September.
    4. James M. Robins & Dianne M. Finkelstein, 2000. "Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log-Rank Tests," Biometrics, The International Biometric Society, vol. 56(3), pages 779-788, September.
    5. A. G. DiRienzo, 2003. "Nonparametric Comparison of Two Survival-Time Distributions in the Presence of Dependent Censoring," Biometrics, The International Biometric Society, vol. 59(3), pages 497-504, September.
    6. Meredith Goldwasser & Lu Tian & L. J. Wei, 2004. "Statistical Inference for Infinite Dimensional Parameters Via Asymptotically Pivotal Estimating Functions," Harvard University Biostatistics Working Paper Series 1007, Berkeley Electronic Press.
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    Keywords

    Competing risks; Martingale; Simultaneous confidence interval; Sensitivity analysis; Survival analysis;
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