:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Baitairian, Jean-Baptiste, Sebastien, Bernard, Jreich, Rana, Katsahian, Sandrine, Guilloux, Agathe
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Methodology
Accesso online:	https://arxiv.org/abs/2411.02231
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Sharp Bounds for Continuous‐Valued Treatment Effects with Unobserved Confounders
di: Jean‐Baptiste Baitairian, et al.
Pubblicazione: (2025)

Calibrating confounding strength in sensitivity models for weighting estimators: a comparative review and a new method
di: Baitairian, Jean-Baptiste, et al.
Pubblicazione: (2025)

Identifiability of Treatment Effects with Unobserved Spatially Varying Confounders
di: Tang, Tommy, et al.
Pubblicazione: (2026)

The Proximal Surrogate Index: Long-Term Treatment Effects under Unobserved Confounding
di: Hung, Ting-Chih, et al.
Pubblicazione: (2026)

Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
di: Zheng, Jiajing, et al.
Pubblicazione: (2021)

Bayesian Structured Mediation Analysis With Unobserved Confounders
di: Xu, Yuliang, et al.
Pubblicazione: (2024)

Nonparametric Sensitivity Analysis for Unobserved Confounding with Survival Outcomes
di: Hu, Rui, et al.
Pubblicazione: (2025)

Auditing Fairness under Unobserved Confounding
di: Byun, Yewon, et al.
Pubblicazione: (2024)

Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders
di: Du, Xiaojing, et al.
Pubblicazione: (2025)

A novel methodological framework for the analysis of health trajectories and survival outcomes in heart failure patients
di: Murris, Juliette, et al.
Pubblicazione: (2024)

Causal Inference with Categorical Unobserved Confounder via Mixture Learning
di: Saha, Aytijhya, et al.
Pubblicazione: (2026)

Sensitivity Analysis to Unobserved Confounding with Copula-based Normalizing Flows
di: Balgi, Sourabh, et al.
Pubblicazione: (2025)

Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding
di: Schkoda, Daniela, et al.
Pubblicazione: (2024)

A regularized multi-state model for covariate selection with interval-censored survival data
di: Bercu, Ariane, et al.
Pubblicazione: (2025)

Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding
di: Rambachan, Ashesh, et al.
Pubblicazione: (2022)

Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift
di: Asiaee, Amir, et al.
Pubblicazione: (2026)

Individual Treatment Effect: Prediction Intervals and Sharp Bounds
di: Zhang, Zhehao, et al.
Pubblicazione: (2025)

Estimation of Treatment Effects in Extreme and Unobserved Data
di: Tan, Jiyuan, et al.
Pubblicazione: (2025)

Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
di: Schröder, Maresa, et al.
Pubblicazione: (2023)

Toward Valid Generative Clinical Trial Data with Survival Endpoints
di: Chassat, Perrine, et al.
Pubblicazione: (2025)

Sequential Treatment Effect Estimation with Unmeasured Confounders
di: Wang, Yingrong, et al.
Pubblicazione: (2025)

Treatment Effect Estimation in Causal Survival Analysis: Practical Recommendations
di: Voinot, Charlotte, et al.
Pubblicazione: (2025)

A Bivariate Transformation Model for Time-to-Event Data Affected by Unobserved Confounding: Revisiting the Illinois Reemployment Bonus Experiment
di: Marra, Giampiero, et al.
Pubblicazione: (2024)

Estimating Dyadic Treatment Effects with Unknown Confounders
di: Hoshino, Tadao, et al.
Pubblicazione: (2024)

An efficient joint model for high dimensional longitudinal and survival data via generic association features
di: Nguyen, Van Tuan, et al.
Pubblicazione: (2023)

$ρ$-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows
di: Balgi, Sourabh, et al.
Pubblicazione: (2022)

Identifying and Estimating Causal Direct Effects Under Unmeasured Confounding
di: Boileau, Philippe, et al.
Pubblicazione: (2026)

Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding
di: Qiu, Zhixin, et al.
Pubblicazione: (2025)

Bounds and Sensitivity Analysis of the Causal Effect Under Outcome-Independent MNAR Confounding
di: Peña, Jose M.
Pubblicazione: (2024)

Comparing Causal Inference Methods for Point Exposures with Missing Confounders: A Simulation Study
di: Benz, Luke, et al.
Pubblicazione: (2024)

Simple yet Sharp Sensitivity Analysis for Any Contrast Under Unmeasured Confounding
di: Peña, Jose M.
Pubblicazione: (2024)

Treatment Effects with Targeting Instruments
di: Lee, Sokbae, et al.
Pubblicazione: (2020)

On Identification of Optimal Dynamic Treatment Regimes with Proxies of Hidden Confounders
di: Zhang, Jeffrey, et al.
Pubblicazione: (2024)

A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
di: Zhang, Xinhai, et al.
Pubblicazione: (2024)

Nonparametric Bounds in Causal Mediation Analysis in the Presence of Unmeasured Confounding and Imperfect Compliance
di: Liang, Wei, et al.
Pubblicazione: (2025)

Guidance on Individualized Treatment Rule Estimation in High Dimensions
di: Boileau, Philippe, et al.
Pubblicazione: (2023)

Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
di: Wang, Yuhao, et al.
Pubblicazione: (2020)

Non-overlap Average Treatment Effect Bounds
di: Susmann, Herbert P., et al.
Pubblicazione: (2025)

Information-Theoretic Causal Bounds under Unmeasured Confounding
di: Jung, Yonghan, et al.
Pubblicazione: (2026)

Estimating Average Causal Effects with Incomplete Exposure and Confounders
di: Wen, Lan, et al.
Pubblicazione: (2025)