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Robust Regression Analysis for Clustered Interval-Censored Failure Time Data

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Abstract

Clustered interval-censored failure time data often occur in a wide variety of research and application fields such as cancer and AIDS studies. For such data, the failure times of interest are interval-censored and may be correlated for subjects coming from the same cluster. This paper presents a robust semiparametric transformation mixed effect models to analyze such data and use a U-statistic based on rank correlation to estimate the unknown parameters. The large sample properties of the estimator are also established. In addition, the authors illustrate the performance of the proposed estimate with extensive simulations and two real data examples.

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Author information

Authors and Affiliations

  1. School of Mathematics and Statistics, Central China Normal University, Wuhan, 430079, China

    Lin Luo

  2. School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, 430064, China

    Hui Zhao

Authors
  1. Lin Luo
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  2. Hui Zhao
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Corresponding author

Correspondence to Hui Zhao.

Additional information

This paper was supported by the National Natural Science Foundation of China under Grant Nos. 11471135 and 11861030.

This paper was recommended for publication by Editor LI Qizhai.

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Luo, L., Zhao, H. Robust Regression Analysis for Clustered Interval-Censored Failure Time Data. J Syst Sci Complex 34, 1156–1174 (2021). https://doi.org/10.1007/s11424-020-9350-2

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  • DOI: https://doi.org/10.1007/s11424-020-9350-2

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