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Rank regression for current status data

✍ Scribed by Jorge Aragón; Adolfo J. Quiróz

Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
299 KB
Volume
24
Category
Article
ISSN
0167-7152

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📜 SIMILAR VOLUMES

Rank regression for current-status data:
Rank regression for current-status data: asymptotic normality
✍ Jason Abrevaya 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 162 KB

A rank estimator proposed by Aragà on and Quirà oz (1995) for the linear regression model with current-status data is shown to be √ n-consistent and asymptotically normal. Monte Carlo simulations investigate the performance of the estimator and the proposed covariance matrix estimator.

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✍ Daniel Rabinowitz 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 61 KB

An approach to testing current status data for dependence between the examination times and the event times is presented. The approach is based on a rank statistic that detects decreasing trends, as a function of the examination time, in the probability that the event occurs before the examination.

Semiparametric linear transformation mod
Semiparametric linear transformation models for current status data
✍ Jianguo Sun; Liuquan Sun 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 French ⚖ 669 KB

Current status data arise when the death of every subject in a study cannot be determined precisely, but is known only to have occurred before or after a random monitoring time. The authors discuss the analysis of such data under semiparametric linear transformation models for which they pmpose a ge