Interval censoring.
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.
Zhang
Zhigang
Z
Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA.
Sun
Jianguo
J
D000163:Acquired Immunodeficiency Syndrome / Q000401:mortality; D006801:Humans; D009369:Neoplasms / Q000401:mortality / Q000532:radiotherapy / Q000628:therapy; D012044:Regression Analysis; D018570:Risk Assessment / Q000706:statistics & numerical data; D018709:Statistics, Nonparametric; D016019:Survival Analysis