In this paper, we propose a new kernel-assisted estimating equation method for logistic partially linear models with missing covariates. We replace the ...

In this paper we propose a new kernel-assisted estimating equation approach to handle missing covariates in the context of LPLMs. The proposed method modifies ...

In this paper, we propose a new kernel-assisted estimating equation method for logistic partially linear models with missing covariates. We replace the ...

In this paper, we propose a new kernel-assisted estimating equation method for logistic partially linear models with missing covariates. We replace the ...

Using link-preserving imputation for logistic partially linear models with missing covariates. To handle missing data one needs to specify auxiliary models ...

Using link-preserving imputation for logistic partially linear models with missing covariates, Computational Statistics and Data Analysis, 101: 174-185. In ...

In this article, we consider a partially linear single-index model Y = g + X τβ0 + ϵ when the covariate X may be missing at random.

Jul 15, 2022 · Using link-preserving imputation for logistic partially linear models with missing covariates.

Using link-preserving imputation for logistic partially linear models with missing covariates ... To handle missing data one needs to specify auxiliary models ...

Missing covariate data commonly occur in epidemiological and clinical research, and are often dealt with using multiple imputation. Imputation of partially ...