Regression analysis of clustered interval-censored failure time data with informative cluster size
Correlated or clustered failure time data often occur in medical studies, among other fields ([1] and [9]), and sometimes such data arise together with interval censoring (Wang et al., 2006). Furthermore, the failure time of interest may be related to the cluster size. For example, Williamson et al. (2008) discussed such an example arising from a lymphatic filariasis study. A simple and common approach to the analysis of these data is to simplify or convert interval-censored data to right-censored data due to the lack of proper inference procedures for direct analysis of these data. In this paper, two procedures are presented for regression analysis of clustered failure time data that allow both interval censoring and informative cluster size. Simulation studies are conducted to evaluate the presented approaches and they are applied to a motivating example.
Year of publication: |
2010
|
---|---|
Authors: | Zhang, Xinyan ; Sun, Jianguo |
Published in: |
Computational Statistics & Data Analysis. - Elsevier, ISSN 0167-9473. - Vol. 54.2010, 7, p. 1817-1823
|
Publisher: |
Elsevier |
Keywords: | Interval censoring Informative cluster size Weibull model Within-cluster resampling |
Saved in:
Saved in favorites
Similar items by person
-
Tavitiyaman, Pimtong, (2024)
-
Zhang, Xinyan, (2010)
-
Huang, George Q., (2010)
- More ...