Publication type
Journal Article
Authors
Publication date
February 15, 2018
Summary:
In many observational cohort studies, a pair of correlated event times are usually observed for each individual. This paper develops a new approach for the semiparametric linear transformation model to handle the bivariate survival data under both truncation and censoring. By incorporating truncation, the potential referral bias in practice is taken into account. A class of generalised estimating equations are proposed to obtain unbiased estimates of the regression parameters. Large sample properties of the proposed estimator are provided. Simulation studies under different scenarios and analyses of real-world datasets are conducted to assess the performance of the proposed estimator.
Published in
Journal of Statistical Planning and Inference
Volume and page numbers
Volume: 193 , p.42 -54
DOI
http://dx.doi.org/10.1016/j.jspi.2017.07.006
ISSN
3783758
Subject
Notes
Not held in Hilary Doughty Research Library - bibliographic reference only
#524570