Regression analysis of clustered interval-censored failure time data with linear transformation models in the presence of informative cluster size. Issue 3 (3rd July 2018)

• Record Type: Journal Article
• Authors: Zhao, Hui; Ma, Chenchen; Li, Junlong; Sun, Jianguo
• Is Part Of: Journal of nonparametric statistics. Volume 30:Issue 3(2018)
• Page Start: 703
• Page End: 715
• Publication Date: 2018-07-03
• Subjects: Clustered data -- interval-censoring -- informative cluster size -- linear transformation models -- estimating equation -- within-cluster resampling; Nonparametric statistics -- Periodicals; 519.5
• DOI: 10.1080/10485252.2018.1469755
• Languages: English
• ISSNs: 1048-5252

Abstract

ABSTRACT: This paper discusses regression analysis of clustered interval-censored failure time data, which often occur in medical follow-up studies among other areas. For such data, sometimes the failure time may be related to the cluster size, the number of subjects within each cluster or we have informative cluster sizes. For the problem, we present a within-cluster resampling method for the situation where the failure time of interest can be described by a class of linear transformation models. In addition to the establishment of the asymptotic properties of the proposed estimators of regression parameters, an extensive simulation study is conducted for the assessment of the finite sample properties of the proposed method and suggests that it works well in practical situations. An application to the example that motivated this study is also provided.