Generalized mean residual life models for case-cohort and nested case-control studies.

Lifetime Data Analysis
Peng JinMengling Liu

Abstract

Mean residual life (MRL) is the remaining life expectancy of a subject who has survived to a certain time point and can be used as an alternative to hazard function for characterizing the distribution of a time-to-event variable. Inference and application of MRL models have primarily focused on full-cohort studies. In practice, case-cohort and nested case-control designs have been commonly used within large cohorts that have long follow-up and study rare diseases, particularly when studying costly molecular biomarkers. They enable prospective inference as the full-cohort design with significant cost-saving benefits. In this paper, we study the modeling and inference of a family of generalized MRL models under case-cohort and nested case-control designs. Built upon the idea of inverse selection probability, the weighted estimating equations are constructed to estimate regression parameters and baseline MRL function. Asymptotic properties of the proposed estimators are established and finite-sample performance is evaluated by extensive numerical simulations. An application to the New York University Women's Health Study is presented to illustrate the proposed models and demonstrate a model diagnostic method to guide practical imp...Continue Reading

References

Jun 11, 2009·Biometrics·Mengling LiuChi-Hong Tseng
Feb 18, 2010·Journal of the American Statistical Association·Liuquan Sun, Zhigang Zhang
Jun 8, 2010·Biostatistics·Mengling LiuAnne Zeleniuch-Jacquotte
Sep 14, 2011·Lifetime Data Analysis·Wenbin Lu, Mengling Liu
Feb 28, 2013·Breast Cancer Research : BCR·Stephanie ScarmoAnne Zeleniuch-Jacquotte
Jan 18, 2014·Journal of the American Statistical Association·Tianxi Cai, Yingye Zheng
Jan 10, 2018·International Journal of Cancer. Journal International Du Cancer·Wenzhen GeAnne Zeleniuch-Jacquotte

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Citations

Sep 24, 2021·Statistics in Medicine·Peng Jin, Mengling Liu

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