Back to Search
Start Over
Regression analysis of clustered failure time data with informative cluster size under the additive transformation models.
- Source :
- Lifetime Data Analysis; Oct2017, Vol. 23 Issue 4, p651-670, 20p
- Publication Year :
- 2017
-
Abstract
- This paper discusses regression analysis of clustered failure time data, which occur when the failure times of interest are collected from clusters. In particular, we consider the situation where the correlated failure times of interest may be related to cluster sizes. For inference, we present two estimation procedures, the weighted estimating equation-based method and the within-cluster resampling-based method, when the correlated failure times of interest arise from a class of additive transformation models. The former makes use of the inverse of cluster sizes as weights in the estimating equations, while the latter can be easily implemented by using the existing software packages for right-censored failure time data. An extensive simulation study is conducted and indicates that the proposed approaches work well in both the situations with and without informative cluster size. They are applied to a dental study that motivated this study. [ABSTRACT FROM AUTHOR]
- Subjects :
- FAILURE time data analysis
REGRESSION analysis
ADDITIVES
COMPUTER software
EQUATIONS
CHRONIC disease treatment
PERIODONTITIS treatment
CHRONIC diseases
CLUSTER analysis (Statistics)
COMPARATIVE studies
COMPUTER simulation
LIFE expectancy
RESEARCH methodology
MEDICAL cooperation
PERIODONTITIS
RESEARCH
RESEARCH funding
STATISTICS
TOOTH loss
EVALUATION research
STATISTICAL models
KAPLAN-Meier estimator
DISEASE complications
Subjects
Details
- Language :
- English
- ISSN :
- 13807870
- Volume :
- 23
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Lifetime Data Analysis
- Publication Type :
- Academic Journal
- Accession number :
- 125327176
- Full Text :
- https://doi.org/10.1007/s10985-016-9384-x