Literature DB >> 20394082

Median regression model with interval censored data.

Yang-J Kim1, Hyungjun Cho, Jinheum Kim, Myoungshic Jhun.   

Abstract

Quantile regression methods have been used to estimate upper and lower quantile reference curves as the function of several covariates. Especially, in survival analysis, median regression models to the right-censored data are suggested with several assumptions. In this article, we consider a median regression model for interval-censored data and construct an estimating equation based on weights derived from interval-censored data. In a simulation study, the performances of the proposed method are evaluated for both symmetric and right-skewed distributed failure times. A well-known breast cancer data are analyzed to illustrate the proposed method.

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Year:  2010        PMID: 20394082     DOI: 10.1002/bimj.200900111

Source DB:  PubMed          Journal:  Biom J        ISSN: 0323-3847            Impact factor:   2.207


  3 in total

1.  Quantile Regression Models for Current Status Data.

Authors:  Fang-Shu Ou; Donglin Zeng; Jianwen Cai
Journal:  J Stat Plan Inference       Date:  2016-07-04       Impact factor: 1.111

Review 2.  Quantile regression for survival data in modern cancer research: expanding statistical tools for precision medicine.

Authors:  Hyokyoung G Hong; David C Christiani; Yi Li
Journal:  Precis Clin Med       Date:  2019-06-18

3.  DGQR estimation for interval censored quantile regression with varying-coefficient models.

Authors:  ChunJing Li; Yun Li; Xue Ding; XiaoGang Dong
Journal:  PLoS One       Date:  2020-11-10       Impact factor: 3.240

  3 in total

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