✦ LIBER ✦

Estimation of Linear Error-in-Covariables Models with Validation Data Under Random Censorship

✍ Scribed by Qihua Wang

Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 166 KB
Volume: 74
Category: Article
ISSN: 0047-259X
DOI: 10.1006/jmva.1999.1869

No coin nor oath required. For personal study only.

✦ Synopsis

Consider the linear models of the form Y=X { ;+= with the response Y censored randomly on the right and X measured erroneously. Without specifying any error models, in this paper, a semiparametric method is applied to the estimation of the parametric vector ; with the help of proper validation data. For the proposed estimator, an asymptotic representation is established and the asymptotic normality is also proved.

📜 SIMILAR VOLUMES

Estimation of Partial Linear Error-in-Va

Estimation of Partial Linear Error-in-Variables Models with Validation Data

✍ Qihua Wang 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 217 KB

Consider the partial linear models of the form Y=X { ;+ g(T)+e, where the p-variate explanatory X is erroneously measured, and both T and the response Y are measured exactly. Let X be the surrogate variable for X with measurement error. Let the primary data set be that containing independent observa

Covariate measurement error and the esti

Covariate measurement error and the estimation of random effect parameters in a mixed model for longitudinal data

✍ Tor D. Tosteson; John P. Buonaccorsi; Eugene Demidenko 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 163 KB 👁 3 views

We explore the effects of measurement error in a time-varying covariate for a mixed model applied to a longitudinal study of plasma levels and dietary intake of beta-carotene. We derive a simple expression for the bias of large sample estimates of the variance of random effects in a longitudinal mod

ESTIMATION BY DATA AUGMENTATION IN REGRE

ESTIMATION BY DATA AUGMENTATION IN REGRESSION MODELS WITH CONTINUOUS AND DISCRETE COVARIATES MEASURED WITH ERROR

✍ JOUNI KUHA 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 306 KB 👁 2 views

Estimation methods are considered for regression models which have both misclassified discrete covariates and continuous covariates measured with error. Adjusted parameter estimates are obtained using the method of data augmentation, where the true values of the covariates measured with error are re