Additive hazards models for gap time data with multiple causes

2012 ◽  
Vol 82 (7) ◽  
pp. 1454-1462 ◽  
Author(s):  
P.G. Sankaran ◽  
P. Anisha
Keyword(s):  
Time Data ◽  
Additive Hazards ◽  
Multiple Causes ◽  
Gap Time

scholarly journals Group Tests for High-dimensional Failure Time Data with the Additive Hazards Models

2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Dandan Jiang ◽  
Jianguo Sun
Keyword(s):  
Failure Time ◽  
Numerical Study ◽  
Test Procedure ◽  
High Dimensional ◽  
Ratio Test ◽  
Time Data ◽  
Genetic Studies ◽  
Additive Hazards ◽  
Hazards Model ◽  
Or Genes

AbstractStatistical analysis of high-dimensional data has been attracting more and more attention due to the abundance of such data in various fields such as genetic studies or genomics and the existence of many interesting topics. Among them, one is the identification of a gene or genes that have significant effects on the occurrence of or are significantly related to a certain disease. In this paper, we will discuss such a problem that can be formulated as a group test or testing a group of variables or coefficients when one faces right-censored failure time response variable. For the problem, we develop a corrected variance reduced partial profiling (CVRPP) linear regression model and a likelihood ratio test procedure when the failure time of interest follows the additive hazards model. The numerical study suggests that the proposed method works well in practical situations and gives better performance than the existing one. An illustrative example is provided.

Event-weighted proportional hazards modelling for recurrent gap time data

2012 ◽  
Vol 32 (1) ◽  
pp. 124-130 ◽  
Author(s):  
G. A. Darlington ◽  
S. N. Dixon
Keyword(s):  
Proportional Hazards ◽  
Time Data ◽  
Gap Time

Additive mixed effect model for recurrent gap time data

2015 ◽  
Vol 23 (2) ◽  
pp. 223-253 ◽  
Author(s):  
Jieli Ding ◽  
Liuquan Sun
Keyword(s):  
Mixed Effect Model ◽  
Time Data ◽  
Mixed Effect ◽  
Effect Model ◽  
Gap Time

Properties of the Estimators for Additive-Accelerated Hazard Ratio Model

2012 ◽  
Vol 263-266 ◽  
pp. 175-178
Author(s):  
Huan Bin Liu
Keyword(s):  
Unknown Parameter ◽  
Recurrent Events ◽  
Asymptotic Properties ◽  
Hazard Ratio ◽  
Estimation Methods ◽  
Ratio Model ◽  
Time Data ◽  
Multiple Type Recurrent Events ◽  
Parameter Function ◽  
Gap Time

Recurrent events gap time is the time difference between two adjacent failures of recurrent events. In this paper, an additive-accelerated hazard ratio model is presented for multiple type recurrent events gap time data, and the estimation methods of unknown parameter and non-parameter function is given. Moreover, the asymptotic properties of estimators are proved.

Sign in / Sign up

Export Citation Format

Share Document