scholarly journals Covariate measurement error correction methods in mediation analysis with failure time data

Biometrics ◽  
2014 ◽  
Vol 70 (4) ◽  
pp. 835-844 ◽  
Author(s):  
Shanshan Zhao ◽  
Ross L. Prentice
Keyword(s):  
Measurement Error ◽  
Error Correction ◽  
Mediation Analysis ◽  
Failure Time ◽  
Failure Time Data ◽  
Time Data ◽  
Covariate Measurement Error ◽  
Measurement Error Correction

A unified approach to variable selection for Cox’s proportional hazards model with interval-censored failure time data

2021 ◽  
pp. 096228022110092
Author(s):  
Mingyue Du ◽  
Hui Zhao ◽  
Jianguo Sun
Keyword(s):  
Variable Selection ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Failure Time ◽  
Significant Feature ◽  
Failure Time Data ◽  
Time Data ◽  
Hazards Model ◽  
Interval Censored ◽  
Cox's Proportional Hazards Model

Cox’s proportional hazards model is the most commonly used model for regression analysis of failure time data and some methods have been developed for its variable selection under different situations. In this paper, we consider a general type of failure time data, case K interval-censored data, that include all of other types discussed as special cases, and propose a unified penalized variable selection procedure. In addition to its generality, another significant feature of the proposed approach is that unlike all of the existing variable selection methods for failure time data, the proposed approach allows dependent censoring, which can occur quite often and could lead to biased or misleading conclusions if not taken into account. For the implementation, a coordinate descent algorithm is developed and the oracle property of the proposed method is established. The numerical studies indicate that the proposed approach works well for practical situations and it is applied to a set of real data arising from Alzheimer’s Disease Neuroimaging Initiative study that motivated this study.

scholarly journals SDN Based in-Network Two-Staged Video QoE Estimation With Measurement Error Correction for Edge Network

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 39733-39745
Author(s):  
Shumpei Shimokawa ◽  
Yuzo Taenaka ◽  
Kazuya Tsukamoto ◽  
Myung Lee
Keyword(s):  
Measurement Error ◽  
Error Correction ◽  
Edge Network ◽  
Measurement Error Correction
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