Imagen de Portada

Robust estimation of optimal dynamic treatment regimes with nonignorable missing covariates

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sun, Jian, Fu, Bo, Su, Li
Formato:	Preprint
Publicado:	2025
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Weighted Q-learning for optimal dynamic treatment regimes with nonignorable missing covariates
por: Sun, Jian, et al.
Publicado: (2023)

Identification and estimation of the conditional average treatment effect with nonignorable missing covariates, treatment, and outcome
por: Zuo, Shuozhi, et al.
Publicado: (2026)

Identification enhanced generalised linear model estimation with nonignorable missing outcomes
por: Beppu, Kenji, et al.
Publicado: (2022)

Model selection with uncertainty in estimating optimal dynamic treatment regimes
por: Wang, Chunyu, et al.
Publicado: (2025)

An optimal dynamic treatment regime estimator for indefinite-horizon survival outcomes
por: She, Jane, et al.
Publicado: (2025)

Correcting nonignorable nonresponse bias in turnout estimation using callback data
por: Li, Xinyu, et al.
Publicado: (2025)

A goodness-of-fit test for the logistic propensity score model under nonignorable missing data
por: Cheng, Manli, et al.
Publicado: (2026)

Regression adjustment in covariate-adaptive randomized experiments with missing covariates
por: Fu, Wanjia, et al.
Publicado: (2025)

Successive classification learning for estimating quantile optimal treatment regimes
por: Xia, Junwen, et al.
Publicado: (2025)

C-learning in estimation of optimal individualized treatment regimes for recurrent disease
por: Zhan, Zi-Shu, et al.
Publicado: (2025)

Maximum likelihood abundance estimation from capture-recapture data when covariates are missing at random
por: Liu, Yang, et al.
Publicado: (2025)

Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
por: Williams, Nicholas, et al.
Publicado: (2025)

Constructing optimal dynamic monitoring and treatment regimes: An application to hypertension care
por: Coulombe, Janie, et al.
Publicado: (2025)

Covariate adjustment in randomized experiments with missing outcomes and covariates
por: Zhao, Anqi, et al.
Publicado: (2023)

Sensitivity analysis for nonignorable missing values in blended analysis framework: a study on the effect of bariatric surgery via electronic health records
por: Lee, Jungwun, et al.
Publicado: (2025)

Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable
por: Xia, Junwen, et al.
Publicado: (2022)

Nonparametric estimation of path‐specific effects in the presence of nonignorable missing covariates
por: Jiawei Shan, et al.
Publicado: (2025)

Robust propensity score weighting estimation under missing at random
por: Wang, Hengfang, et al.
Publicado: (2023)

Hybrid methods for missing categorical covariates in Cox model
por: Dioni, Abdoulaye, et al.
Publicado: (2025)

Balancing utility and cost in dynamic treatment regimes
por: Chen, Kai, et al.
Publicado: (2025)

Robust and efficient estimation in the presence of a randomly censored covariate
por: Lee, Seong-ho, et al.
Publicado: (2024)

A semiparametric two-sample homogeneity test with nonignorable nonresponse using callback data
por: Wang, Xinyu, et al.
Publicado: (2026)

Semiparametric model averaging for high-dimensional quantile regression with nonignorable nonresponse
por: Xiong, Wei, et al.
Publicado: (2025)

Recent advances in doubly-robust weighted ordinary least squares techniques for dynamic treatment regime estimation
por: Nadi, Adel Ahmadi, et al.
Publicado: (2025)

Multiple imputation of missing covariates when using the Fine-Gray model
por: Bonneville, Edouard F., et al.
Publicado: (2024)

Semiparametric inference for inequality measures under nonignorable nonresponse using callback data
por: Wang, Xinyu, et al.
Publicado: (2026)

Two-step semiparametric empirical likelihood inference from capture-recapture data with missing covariates
por: Liu, Yang, et al.
Publicado: (2025)

Sensitivity analysis for constructing optimal regimes in the presence of treatment non-compliance
por: Pham, Cuong T., et al.
Publicado: (2022)

Robust regularized covariance matrix estimation: well-posedness and convergent algorithm
por: Yi, Mengxi, et al.
Publicado: (2026)

Robust covariance estimation and explainable outlier detection for matrix-valued data
por: Mayrhofer, Marcus, et al.
Publicado: (2024)

Augmented transfer regression learning for completely missing covariates
por: Zhao, Huali, et al.
Publicado: (2026)

Two-stage least squares with treatment-covariate interactions for treatment effect heterogeneity
por: Zhao, Anqi, et al.
Publicado: (2025)

A multiple imputation approach to distinguish curative from life-prolonging effects in the presence of missing covariates
por: Cipriani, Marta, et al.
Publicado: (2024)

Large covariance matrix estimation with factor-assisted variable clustering
por: Li, Dong, et al.
Publicado: (2025)

Statistics of spatial averages and optimal averaging in the presence of missing data
por: Seshadri, Ashwin K
Publicado: (2017)

Identifiability of the instrumental variable model with the treatment and outcome missing not at random
por: Zuo, Shuozhi, et al.
Publicado: (2024)

Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift
por: Young, Elliot H., et al.
Publicado: (2025)

Estimating optimal interpretable individualized treatment regimes from a classification perspective using adaptive LASSO
por: Zhang, Yunshu, et al.
Publicado: (2026)

Efficiency-improved doubly robust estimation with non-confounding predictive covariates
por: Luo, Shanshan, et al.
Publicado: (2024)

Online robust covariance matrix estimation and outlier detection
por: Guillot, Paul, et al.
Publicado: (2026)