Web - based Supplementary Materials for ( Adjustment for Missingness Using Auxiliary Information in Semiparametric Regression ) by ( Donglin Zeng and Qingxia Chen ) 1 Web

Sieve Maximum Likelihood Estimation for Regression Models With Covariates Missing at Random

Missing covariates are common in regression problems. We propose a new semiparametric method based on a fully nonparametric distribution for the missing covariates that are assumed to be missing at random. The method of sieve maximum likelihood estimation is used to obtain the estimators of the regression coefficients. These estimators are shown to be consistent and asymptotically normal with t...

Gamma frailty transformation models for multivariate survival times.

We propose a class of transformation models for multivariate failure times. The class of transformation models generalize the usual gamma frailty model and yields a marginally linear transformation model for each failure time. Nonparametric maximum likelihood estimation is used for inference. The maximum likelihood estimators for the regression coefficients are shown to be consistent and asympt...

Web-based Supplementary Materials for “A Penalized spline approach to functional mixed effects model analysis” by Huaihou Chen and Yuanjia Wang Semiparametric estimation of the within-subject vari- ation

Estimation of Treatment Dose-effect by Adjusting for Dependent Censoring Using High-dimensional Auxiliary Information

In right-censored data, one goal is to to obtain an estimator of treatment dose-effect, which is represented by some parameter in a marginal model of lifetime given treatment dose variable. When dependent censoring is explained by both the dose variable and many other auxiliary covariates (high-dimensional auxiliary information), an intuitive approach to estimate the dose effect is to first est...

Towards Supporting Exploratory Search over the Arabic Web Content: The Case of ArabXplore

Due to the huge amount of data published on the Web, the Web search process has become more difficult, and it is sometimes hard to get the expected results, especially when the users are less certain about their information needs. Several efforts have been proposed to support exploratory search on the web by using query expansion, faceted search, or supplementary information extracted from exte...