✦ LIBER ✦

Estimation of the Association for Bivariate Interval-censored Failure Time Data

✍ Scribed by LIUQUAN SUN; LIANMING WANG; JIANGUO SUN

Book ID: 111008806
Publisher: John Wiley and Sons
Year: 2006
Tongue: English
Weight: 534 KB
Volume: 33
Category: Article
ISSN: 0303-6898
DOI: 10.1111/j.1467-9469.2006.00502.x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A Multistate Model for Bivariate Interva

A Multistate Model for Bivariate Interval-Censored Failure Time Data

✍ Richard J. Cook; Leilei Zeng; Ker-Ai Lee 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 178 KB

Tests of independence for censored bivar

Tests of independence for censored bivariate failure time data

✍ Wenbin Lu 📂 Article 📅 2007 🏛 Springer 🌐 English ⚖ 215 KB

Nonparametric Tests for Interval-Censore

Nonparametric Tests for Interval-Censored Failure Time Data

✍ Hee-Jeong Lim; Jianguo Sun 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 123 KB 👁 2 views

REGRESSION ANALYSIS OF INTERVAL-CENSORED

REGRESSION ANALYSIS OF INTERVAL-CENSORED FAILURE TIME DATA

✍ JIANGUO SUN 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 204 KB 👁 2 views

Interval-censored failure time data often occur, for example, in clinical trials or longitudinal studies. For the regression analysis of such data, there have been a number of methods proposed based on continuous regression models such as Cox's proportional hazards model. In practice, however, obser

Nonparametric Test for Doubly Interval-C

Nonparametric Test for Doubly Interval-Censored Failure Time Data

✍ Jianguo Sun 📂 Article 📅 2001 🏛 Springer 🌐 English ⚖ 116 KB

A non-parametric maximum likelihood esti

A non-parametric maximum likelihood estimator for bivariate interval censored data

✍ Rebecca A. Betensky; Dianne M. Finkelstein 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 106 KB 👁 2 views

We derive a non-parametric maximum likelihood estimator for bivariate interval censored data using standard techniques for constrained convex optimization. Our approach extends those taken for univariate interval censored data. We illustrate the estimator with bivariate data from an AIDS study.