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Goodness of fit tests with interval censored data

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  • JIAN‐JIAN REN

Abstract

Cramér–von Mises type goodness of fit tests for interval censored data case 2 are proposed based on a resampling method called the leveraged bootstrap, and their asymptotic consistency is shown. The proposed tests are computationally efficient, and in fact can be applied to other types of censored data, including right censored data, doubly censored data and (mixture of) case k interval censored data. Some simulation results and an example from AIDS research are presented.

Suggested Citation

  • Jian‐Jian Ren, 2003. "Goodness of fit tests with interval censored data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 30(1), pages 211-226, March.
    • Handle: RePEc:bla:scjsta:v:30:y:2003:i:1:p:211-226
    DOI: 10.1111/1467-9469.00327
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    Cited by:

    1. Jian-Jian Ren & Yiming Lyu, 2024. "Weighted Empirical Likelihood for Accelerated Life Model with Various Types of Censored Data," Stats, MDPI, vol. 7(3), pages 1-11, September.
    2. Yu, Shaohua & Yu, Qiqing & Wong, George Y.C., 2006. "Consistency of the generalized MLE of a joint distribution function with multivariate interval-censored data," Journal of Multivariate Analysis, Elsevier, vol. 97(3), pages 720-732, March.
    3. Jialiang Li & Shuangge Ma, 2010. "Interval‐censored data with repeated measurements and a cured subgroup," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(4), pages 693-705, August.

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