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Regression analysis of restricted mean survival time based on pseudo-observations for competing risks data

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  • Xin Wang
  • Xiaoming Xue
  • Liuquan Sun

Abstract

Competing risks data often occur in many medical follow-up studies. When the survival time is the outcome variable, the restricted mean survival time has heuristic and clinically meaningful interpretation. In this article, we propose a class of regression models for the restricted mean survival time in the competing risks setting. We adopt a technique of pseudo-observations to develop estimating equation approaches for the model parameters and establish asymptotic properties of the resulting estimators. The finite-sample behavior of the proposed method is evaluated through simulation studies, and an application to the Women’s Interagency HIV Study is provided.

Suggested Citation

  • Xin Wang & Xiaoming Xue & Liuquan Sun, 2018. "Regression analysis of restricted mean survival time based on pseudo-observations for competing risks data," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(22), pages 5614-5625, November.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:22:p:5614-5625
    DOI: 10.1080/03610926.2017.1397174
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