A quantile regression estimator for interval-censored data

被引：4
|
作者：
Frumento, Paolo [1 ]
机构：
[1] Univ Pisa, Pisa, Italy
来源：
INTERNATIONAL JOURNAL OF BIOSTATISTICS | 2023年 / 19卷 / 01期
关键词：
interval-censored quantile regression; R package ctqr; signal Tandmobiel (R) data; two-step estimation; FAILURE TIME MODEL; ASYMPTOTIC VARIANCE; ECONOMETRIC-MODELS; INFERENCE; SELECTION;
D O I：
10.1515/ijb-2021-0063
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We describe an estimating equation that can be used to fit quantile regression models to interval-censored data. The proposed estimator presents important advantages over the existing methods, and can be applied when the data are a mixture of interval-censored, left-censored, and right-censored observations. We describe estimation and inference, report simulation results, and apply the proposed method to analyze the Signal Tandmobiel (R) data. The necessary R code has been incorporated in the existing R package ctqr.
引用
收藏
页码：81 / 96
页数：16
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