#### Filter Results:

#### Publication Year

1996

2012

#### Publication Type

#### Co-author

#### Publication Venue

Learn More

- Anton Schick, Qiqing Yu
- 1998

In this paper we consider an interval censorship model in which the end-points of the censoring intervals are determined by a two stage experiment. In the rst stage the value k of a random integer is selected; in the second stage the endpoints are determined by a case k interval censorship model. We prove the strong consistency in the L 1 ()-topology of the… (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)

- Qiqing Yu, Linxiong Li, George Y C Wong
- 2000

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)

- Qiqing Yu, Anton Schick, Linxiong Li, George Y C Wong
- 1997

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)

- Qiqing Yu, Anton Schick, Linxiong Li, George Y C Wong
- 1996

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
- ›