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http://dx.doi.org/10.5351/KJAS.2014.27.2.331

Modeling Clustered Interval-Censored Failure Time Data with Informative Cluster Size  

Kim, Jinheum (Department of Applied Statistics, University of Suwon)
Kim, Youn Nam (Clinical Trials Center Severance Hospital, Yonsei University Health System)
Publication Information
The Korean Journal of Applied Statistics / v.27, no.2, 2014 , pp. 331-343 More about this Journal
Abstract
We propose two estimating procedures to analyze clustered interval-censored data with an informative cluster size based on a marginal model and investigate their asymptotic properties. One is an extension of Cong et al. (2007) to interval-censored data and the other uses the within-cluster resampling method proposed by Hoffman et al. (2001). Simulation results imply that the proposed estimators have a better performance in terms of bias and coverage rate of true value than an estimator with no adjustment of informative cluster size when the cluster size is related with survival time. Finally, they are applied to lymphatic filariasis data adopted from Williamson et al. (2008).
Keywords
Informative cluster size; interval censoring; marginal model; weighted estimating equation; within-cluster resampling;
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