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On global consistency of a bivariate survival estimator under univariate censoring

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  • Kosorok, Michael R.

Abstract

Simple extensions of the nonparametric bivariate survival estimator of Lin and Ying (Biometrika 80 (1993) 573) are proposed which permit consistent estimation over the entire support of the censored data distribution. These extensions utilize a simple class of stopping times. Large sample uniform consistency of the proposals is also established.

Suggested Citation

  • Kosorok, Michael R., 2002. "On global consistency of a bivariate survival estimator under univariate censoring," Statistics & Probability Letters, Elsevier, vol. 56(4), pages 439-446, February.
    • Handle: RePEc:eee:stapro:v:56:y:2002:i:4:p:439-446
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    Cited by:

    1. Kosorok, Michael R. & Gangnon, Ronald E., 2006. "Resolving the tail instability in weighted log-rank statistics for clustered survival data," Statistics & Probability Letters, Elsevier, vol. 76(3), pages 304-309, February.

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