SIMEX estimation for single-index model with covariate measurement error
In this paper, we consider the single-index measurement error model with mismeasured
covariates in the nonparametric part. To solve the problem, we develop a simulation …
covariates in the nonparametric part. To solve the problem, we develop a simulation …
Estimation and variable selection for partial linear single-index distortion measurement errors models
J Zhang - Statistical Papers, 2021 - Springer
This paper considers partial linear single-index regression models when all the variables
are measured with multiplicative distortion measurement errors. To eliminate the effect …
are measured with multiplicative distortion measurement errors. To eliminate the effect …
A family of partial-linear single-index models for analyzing complex environmental exposures with continuous, categorical, time-to-event, and longitudinal health …
Background Statistical methods to study the joint effects of environmental factors are of great
importance to understand the impact of correlated exposures that may act synergistically or …
importance to understand the impact of correlated exposures that may act synergistically or …
Estimation and hypothesis test for single-index multiplicative models
J Zhang, J Zhu, Z Feng - Test, 2019 - Springer
Estimation and hypothesis tests for single-index multiplicative models are considered in this
paper. To estimate unknown single-index parameter, we propose a profile least product …
paper. To estimate unknown single-index parameter, we propose a profile least product …
Projection tests for regression coefficients in high-dimensional partial linear models
M Li, J Zhang, J Zhang - Communications in Statistics-Theory and …, 2024 - Taylor & Francis
To check the significance of the regression coefficients in the linear component of high-
dimensional partial linear models, we proposed some projection-based test statistics. These …
dimensional partial linear models, we proposed some projection-based test statistics. These …
Estimation and hypothesis test for partial linear single-index multiplicative models
Estimation and hypothesis test for partial linear single-index multiplicative models are
considered in this paper. To estimate unknown single-index parameter, we propose a profile …
considered in this paper. To estimate unknown single-index parameter, we propose a profile …
Semiparametric penalized quadratic inference functions for longitudinal data in ultra-high dimensions
In many biomedical and health studies, multivariate data arise from repeated measurements
on a sample of subjects over time. In order to analyze such longitudinal data, we need to …
on a sample of subjects over time. In order to analyze such longitudinal data, we need to …
Ultra high-dimensional semiparametric longitudinal data analysis
As ultra high-dimensional longitudinal data are becoming ever more apparent in fields such
as public health and bioinformatics, developing flexible methods with a sparse model is of …
as public health and bioinformatics, developing flexible methods with a sparse model is of …
Estimation and hypothesis test for varying coefficient single-index multiplicative models
Estimation and hypothesis test for varying coefficient single-index multiplicative models are
considered in this paper. To estimate an unknown single-index parameter, a profile product …
considered in this paper. To estimate an unknown single-index parameter, a profile product …
Variable selection in modelling clustered data via within‐cluster resampling
In many biomedical applications, there is a need to build risk‐adjustment models based on
clustered data. However, methods for variable selection that are applicable to clustered …
clustered data. However, methods for variable selection that are applicable to clustered …