Generalized mean residual life models for survival data with missing censoring indicators-Reference-Cited by-同舟云学术

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Generalized mean residual life models for survival data with missing censoring indicators

Published:2022-11-27 Issue:3 Volume:42 Page:264-280
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Li Wenwen¹,Ma Huijuan¹^ORCID,Faraggi David¹²,Dinse Gregg E.³

Affiliation:

1. KLATASDS‐MOE School of Statistics and Academy of Statistics and Interdisciplinary Sciences, East China Normal University Shanghai China

2. Department of Statistics University of Haifa Haifa Israel

3. Public Health & Scientific Research Social and Scientific Systems Durham North Carolina USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9615

Reference38 articles.

1. Additive hazards regression with censoring indicators missing at random

2. Efficient estimation of regression coefficients and baseline hazard under proportionality of conditional hazards

3. Non‐ and semi‐parametric analysis of failure time data with missing failure indicators;Gijbels I;IMS Lect Notes‐Monogr Ser.,2007

4. Proportional hazards model for competing risks data with missing cause of failure

5. Parameter estimation in Cox models with missing failure indicators and the OPPERA study

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating the uncertainty in mean residual times: Estimators based on residence times from discrete time processes;Communications in Nonlinear Science and Numerical Simulation;2024-09

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