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An urn model in the simulation of interval censored failure time data

โœ Scribed by Chinsan Lee

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
105 KB
Volume
45
Category
Article
ISSN
0167-7152

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โœฆ Synopsis

A self-consistent algorithm was proposed by Turnbull (J. Amer. Statist. Assoc. 69 (1974) [169][170][171][172][173] to estimate the distribution of X on the basis of interval censored data of X . An interval censored X means that X is known either to lie inside an interval (XL; XR], or to lie below XL or above XR. The calculation of the estimates is not an easy task. In this article, an urn model is constructed to sample the random intervals and to calculate relevant probabilities. It is proved that using the interval data obtained from the urn model, consistent estimates can be obtained by using the self-consistency algorithm. A simulation example is provided to illustrate the procedure.

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โœ Zhigang Zhang; Liuquan Sun; Xingqiu Zhao; Jianguo Sun ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ French โš– 600 KB

The authors consider the estimation of regression parameters in the context of a class of generalized pmportional hazards models, termed linear transformation models, in the presence of interval-censored data. They present an estimating equation appach whose good performance is demonstrated through