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Interval censoring

¹ Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering, Cancer Center, 307 East 63rd Street, New York, NY 10065, USA
² Department of Statistics, University of Missouri, 146 Middlebush Hall, Columbia, Missouri 65211, USA

^* To whom correspondence should be addressed. E-mail: sunj{at}missouri.edu.

	Abstract

Interval-censored failure time data occur in many medical investigations as well as other studies such as demographical and sociological studies. They include the usual right-censored failure time data as a special case but provide much more complex structure and less relevant information than the right-censored data. This article reviews some basic concepts, issues and the corresponding statistical approaches related to the analysis of interval-censored data as well as recent advances. In particular, we discuss estimation of a survival function, comparison of several treatments and regression analysis as well as competing risks analysis and truncation in the presence of interval censoring. A well-known example of interval-censored data is described and analysed to illustrate some of the statistical procedures discussed.

First published on August 4, 2009
Statistical Methods in Medical Research 2009, doi:10.1177/0962280209105023


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