Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R,
SAS, and BUGS provides the reader with a practical introduction into the analysis of interval …

There have been several reports on the varying rates of progression among Alzheimer's
Disease (AD) patients; however, there has been no quantitative study of the amount of …

We derive a non‐parametric maximum likelihood estimator for bivariate interval censored
data using standard techniques for constrained convex optimization. Our approach extends …

Interval‐censored observations of a response variable are a common occurrence in medical
studies, and usually result when the response is the elapsed time until some event whose …

Bayesian semiparametric inference for multivariate doubly-interval-censored data Page 1 The
Annals of Applied Statistics 2010, Vol. 4, No. 4, 2126–2149 DOI: 10.1214/10-AOAS368 © …

In this article we consider the relationship of covariates to the time to caries of permanent
first molars. This involves an analysis of multivariate doubly interval-censored data. To …

Publisher Summary This chapter discusses the statistical analysis of doubly interval-
censored failure-time data. One field that often sees doubly interval-censored failure-time …

In most cohort studies on HIV infection and AIDS, data on time from seroconversion to AIDS
or death are doubly censored, both at the time origin and at the endpoint of interest. In …

Interval censoring appears when the event of interest is only known to have occurred within
a random time interval. Estimation and hypothesis testing procedures for interval-censored …

Measuring the benefit of screening mammography is difficult due to lead-time bias, length
bias and over-detection. We evaluated the benefit of screening mammography in reducing …