Qiqing Yu

Learn More
Interval-censored (IC) failure time data often occur in follow-up studies where subjects can only be followed periodically and the failure time can only be known to lie in an interval. In this paper we propose a modified log-rank test for the problem of comparing two or more IC samples. Our log-rank statistic and covariance matrix are calculated by a(More)
The self-consistent estimator is commonly used for estimating a survival function with interval-censored data. Recent studies on interval censoring have focused on case 2 interval censoring, which does not involve exact observations, and double censoring, which involves only exact, right-censored or left-censored observations. In this paper, we consider an(More)
We consider the case 1 interval censorship model in which the survival time has an arbitrary distribution function F 0 and the inspection time has a discrete distribution function G. In such a model one is only able to observe the inspection time and whether the value of the survival time lies before or after the inspection time. We prove the strong(More)
In case 2 interval censoring the random survival time X of interest is not directly observable, but only known to have occurred before Y , between Y and Z, or after Z, where (Y; Z) is a pair of observable inspection times such that Y < Z. We consider the large sample properties of the generalized maximum likelihood estimator (GMLE) of the distribution(More)
  • 1