Estimation and inference for generalized geoadditive models
In many application areas, data are collected on a count or binary response with spatial
covariate information. In this article, we introduce a new class of generalized geoadditive …
covariate information. In this article, we introduce a new class of generalized geoadditive …
Generalized spatially varying coefficient models
In this article, we introduce a new class of nonparametric regression models, called
generalized spatially varying coefficient models (GSVCMs), for data distributed over …
generalized spatially varying coefficient models (GSVCMs), for data distributed over …
Empirical likelihood inference for censored median regression model via nonparametric kernel estimation
Y Zhao, F Chen - Journal of Multivariate Analysis, 2008 - Elsevier
An alternative to the accelerated failure time model is to regress the median of the failure
time on the covariates. In the recent years, censored median regression models have been …
time on the covariates. In the recent years, censored median regression models have been …
Inference for the mean residual life function via empirical likelihood
In addition to the distribution function, the mean residual life (MRL) function is the other
important function which can be used to characterize a lifetime in survival analysis and …
important function which can be used to characterize a lifetime in survival analysis and …
Model-based confidence bands for survival functions
S Subramanian, P Zhang - Journal of Statistical Planning and Inference, 2013 - Elsevier
This paper focuses on a novel method of developing one-sample confidence bands for
survival functions from right censored data. The approach is model-based, relying on a …
survival functions from right censored data. The approach is model-based, relying on a …
Inference for Cox's regression models via adjusted empirical likelihood
Y Zhao, A Jinnah - Computational Statistics, 2012 - Springer
The Cox's regression model is one of the most popular tools used in survival analysis.
Recently, Qin and Jing (Commun Stat Simul Comput 30: 79–90, 2001) applied empirical …
Recently, Qin and Jing (Commun Stat Simul Comput 30: 79–90, 2001) applied empirical …
Novel empirical likelihood inference for the mean difference with right-censored data
K Alemdjrodo, Y Zhao - Statistical Methods in Medical …, 2022 - journals.sagepub.com
This paper focuses on comparing two means and finding a confidence interval for the
difference of two means with right-censored data using the empirical likelihood method …
difference of two means with right-censored data using the empirical likelihood method …
On an exponential bound for the Kaplan–Meier estimator
JA Wellner - Lifetime Data Analysis, 2007 - Springer
We review limit theory and inequalities for the Kaplan–Meier Kaplan and Meier (J Am Stat
Assoc 53: 457–481, 1958) product limit estimator of a survival function on the whole line R …
Assoc 53: 457–481, 1958) product limit estimator of a survival function on the whole line R …
Empirical likelihood inference for the regression model of mean quality‐adjusted lifetime with censored data
The authors consider the empirical likelihood method for the regression model of mean
quality‐adjusted lifetime with right censoring. They show that an empirical log‐likelihood …
quality‐adjusted lifetime with right censoring. They show that an empirical log‐likelihood …
[HTML][HTML] Smoothed empirical likelihood for ROC curves with censored data
The receiver operating characteristic (ROC) curve is an attractive basis for the comparison of
distribution functions between two populations. In this paper, we apply the censored …
distribution functions between two populations. In this paper, we apply the censored …