Biomedical Engineering Reference
In-Depth Information
Chapter 2
A Review of Various Models for
Interval-Censored Data
Qiqing Yu
Department of Mathematical Sciences, State University of New York, Bing-
hamton, New York, USA
Yuting Hsu
Department of Computer and Mathematical Sciences, Pennsylvania State Uni-
versity, Harrisburg, Pennsylvania, USA
2.1
Introduction ::::::::::::::::::::::::::::::::::::::::::::::::::::::
29
2.2
Independent Interval Censorship Models ::::::::::::::::::::::::
32
2.2.1
Full Likelihood :::::::::::::::::::::::::::::::::::::::::::
33
2.2.2
Various Models for C1 or C2 Data ::::::::::::::::::::::
34
2.2.3
Various Models for MIC Data :::::::::::::::::::::::::::
38
2.3
About Multivariate IC Models :::::::::::::::::::::::::::::::::::
40
Bibliography ::::::::::::::::::::::::::::::::::::::::::::::::::::::
41
2.1
Introduction
We introduce various model for interval-censored (IC) data in this chapter.
IC data on survival time T can either be expressed as n vectors (Li, i ;R i ) (with
endpoint Li i and R i ) from the population (L;R), or n intervals I i from the
population I. There are several types of interval-censored data.
29
 
 
 
Search WWH ::




Custom Search