A semi‐competing risks model for data with interval‐censoring and informative observation: An application to the MRC cognitive function and ageing study-Reference-Cited by-同舟云学术

A semi‐competing risks model for data with interval‐censoring and informative observation: An application to the MRC cognitive function and ageing study

Published:2010-11-05 Issue:1 Volume:30 Page:1-10
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Barrett Jessica K.¹,Siannis Fotios²,Farewell Vern T.¹

Affiliation:

1. MRC Biostatistics Unit, Cambridge, U.K.

2. Department of Mathematics, University of Athens, Greece

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.4071

Reference9 articles.

1. Adaption of bivariate frailty models for prediction, with application to biological markers as prognostic indicators

2. On semi-competing risks data

3. Nonparametric estimation of the sojourn time distributions for a multipath model

4. Tutorial in biostatistics: competing risks and multi-state models

5. Cognitive function and dementia in six areas of England and Wales: the distribution of MMSE and prevalence of GMS organicity level in the MRC CFA Study

Cited by 24 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. Temporal Dynamics of Countries' Journey to Cluster-Specific GDP per Capita: A Comprehensive Survival Study;Review of Economic Assessment;2024-02-19

2. Machine Learning Algorithms for Survival Analysis: Advantages, Disadvantages, and Examples;International Journal of Artificial Intelligence and Machine Learning;2024-01-05

3. Regression analysis of the illness-death model with a shared frailty when all transition times are interval censored;Communications in Statistics - Simulation and Computation;2020-12-01

4. Tailored optimal posttreatment surveillance for cancer recurrence;Biometrics;2020-08-06

5. Developing statistical models and constructing clinical systems for analyzing semi-competing risks data produced from medicine, public heath, and epidemiology;KOREAN J APPL STAT;2020