Regression analysis of restricted mean survival time based on pseudo-observations for competing risks data |
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Authors: | Xin Wang Xiaoming Xue |
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Institution: | 1. School of Science, Beijing Information Science and Technology University, Beijing, P.R.China;2. Institute of Applied Mathematics, Academy of Mathematical and Systems Science, Chinese Academy of Sciences, Beijing, P.R.China |
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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. |
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Keywords: | Competing risks Generalized estimating equation Pseudo-observations Regression models Restricted mean |
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