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Hazard function estimation with cause-of-death data missing at random

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  • Qihua Wang
  • Gregg Dinse
  • Chunling Liu

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  • Qihua Wang & Gregg Dinse & Chunling Liu, 2012. "Hazard function estimation with cause-of-death data missing at random," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(2), pages 415-438, April.
    • Handle: RePEc:spr:aistmt:v:64:y:2012:i:2:p:415-438
    DOI: 10.1007/s10463-010-0317-2
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    References listed on IDEAS

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    1. Wang Q. & Linton O. & Hardle W., 2004. "Semiparametric Regression Analysis With Missing Response at Random," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 334-345, January.
    2. Anastasios A. Tsiatis, 2002. "Multiple imputation methods for testing treatment differences in survival distributions with missing cause of failure," Biometrika, Biometrika Trust, vol. 89(1), pages 238-244, March.
    3. Diehl, Sabine & Stute, Winfried, 1988. "Kernel density and hazard function estimation in the presence of censoring," Journal of Multivariate Analysis, Elsevier, vol. 25(2), pages 299-310, May.
    4. Sarda, P. & Vieu, P., 1991. "Smoothing parameter selection in hazard estimation," Statistics & Probability Letters, Elsevier, vol. 11(5), pages 429-434, May.
    5. Stuart R. Lipsitz & Lue Ping Zhao & Geert Molenberghs, 1998. "A semiparametric method of multiple imputation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(1), pages 127-144.
    6. Wang, Qi-Hua, 1999. "Some bounds for the error of an estimator of the hazard function with censored data," Statistics & Probability Letters, Elsevier, vol. 44(4), pages 319-326, October.
    7. James Robins & Andrea Rotnitzky & Stijn Vansteelandt, 2007. "Discussions," Biometrics, The International Biometric Society, vol. 63(3), pages 650-653, September.
    8. M. Jácome & I. Gijbels & R. Cao, 2008. "Comparison of presmoothing methods in kernel density estimation under censoring," Computational Statistics, Springer, vol. 23(3), pages 381-406, July.
    9. Guozhi Gao & Anastasios A. Tsiatis, 2005. "Semiparametric estimators for the regression coefficients in the linear transformation competing risks model with missing cause of failure," Biometrika, Biometrika Trust, vol. 92(4), pages 875-891, December.
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    Cited by:

    1. Natalia A. Gouskova & Feng-Chang Lin & Jason P. Fine, 2017. "Nonparametric analysis of competing risks data with event category missing at random," Biometrics, The International Biometric Society, vol. 73(1), pages 104-113, March.

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