title: Generalized log-rank tests for partly interval-censored failure time data.
abstract: In this paper, we consider incomplete survival data: partly interval-censored failure time data where observed data include both exact and interval-censored observations on the survival time of interest. We present a class of generalized log-rank tests for this type of survival data and establish their asymptotic properties. The method is evaluated using simulation studies and illustrated by a set of real data from a diabetes study.
authors.affiliation: Department of Mathematics and Statistics, McMaster University, 1280 Main Street West Hamilton, Ontario L8S 4K1, Canada. zhaox7@math.mcmaster.ca
authors.forename: Xingqiu
authors.initials: X
authors.lastname: Zhao
authors.forename: Qiang
authors.initials: Q
authors.lastname: Zhao
authors.forename: Jainguo
authors.initials: J
authors.lastname: Sun
authors.forename: Jong S
authors.initials: JS
authors.lastname: Kim
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D002648:Child; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D003922:Diabetes Mellitus, Type 1 / Q000150:complications; D003928:Diabetic Nephropathies / Q000150:complications; D005260:Female; D006801:Humans; D008297:Male; D012737:Sex Factors; D018709:Statistics, Nonparametric; D016019:Survival Analysis