Smith P J
Department of Statistics and Operations Research, Royal Melbourne Institute of Technology, Victoria, Australia.
Lifetime Data Anal. 1996;2(1):51-61. doi: 10.1007/BF00128470.
In this note we provide a general framework for describing interval-censored samples including estimation of the magnitude and rank positions of data that have been interval-censored so as to counteract the effect of censoring. This process of sample adjustment, or renovation, allows samples to be compared graphically, using diagrams (such as boxplots) which are based on ranks. The renovation process is based on Buckley-James regression estimators for linear regression with censored data.
