:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Kim, Suehyun, Lee, Kwonsang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	https://arxiv.org/abs/2511.23208
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Mixing Samples to Address Weak Overlap in Causal Inference
di: Jang, Jaehyuk, et al.
Pubblicazione: (2024)

A Randomization-Based Method for Evaluating Time-Varying Treatment Effects
di: Lee, Sangjin, et al.
Pubblicazione: (2024)

Differential recall bias in estimating treatment effects in observational studies
di: Bong, Suhwan, et al.
Pubblicazione: (2023)

Absolute average and median treatment effects as causal estimands on metric spaces
di: Shin, Ha-Young, et al.
Pubblicazione: (2024)

A Generalized Difference-in-Differences Estimator for Randomized Stepped-Wedge and Observational Staggered Adoption Settings
di: Kennedy-Shaffer, Lee
Pubblicazione: (2024)

GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
di: Oprescu, Miruna, et al.
Pubblicazione: (2025)

Cohort-Anchored Robust Inference for Event-Study with Staggered Adoption
di: Liu, Ziyi
Pubblicazione: (2025)

Doubly Robust Estimation of Treatment Effects in Staggered Difference-in-Differences with Time-Varying Covariates
di: Deng, Yuhao, et al.
Pubblicazione: (2026)

Inference under Staggered Adoption: Case Study of the Affordable Care Act
di: Xia, Eric, et al.
Pubblicazione: (2024)

Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption
di: Cattaneo, Matias D., et al.
Pubblicazione: (2022)

Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
di: Bargagli-Stoffi, Falco J., et al.
Pubblicazione: (2020)

Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions
di: Faletto, Gregory
Pubblicazione: (2023)

Exchangeable Gaussian Processes for Staggered-Adoption Policy Evaluation
di: Gevorgyan, Hayk, et al.
Pubblicazione: (2026)

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

Adjustment for Unmeasured Spatial Confounding in Settings of Continuous Exposure Conditional on the Binary Exposure Status: Conditional Generalized Propensity Score-Based Spatial Matching
di: Kim, Honghyok, et al.
Pubblicazione: (2022)

A Milestone-Based Framework for Characterizing Time-Varying Treatment Effects in Immunotherapy Trials
di: Tai, Yi-Cheng, et al.
Pubblicazione: (2026)

A Weighting Framework for Clusters as Confounders in Observational Studies
di: Ben-Michael, Eli, et al.
Pubblicazione: (2026)

Robust High-Dimensional Time-Varying Coefficient Estimation
di: Shin, Minseok, et al.
Pubblicazione: (2023)

Navigating Unmeasured Confounding in Quantitative Sociology: A Sensitivity Framework
di: Lin, Cheng, et al.
Pubblicazione: (2023)

Bayesian Estimation of Cohort-Time-Stratum Specific Effects in Staggered Difference-in-Differences
di: Chib, Siddhartha, et al.
Pubblicazione: (2025)

An Instrumental Variables Framework to Unite Spatial Confounding Methods
di: Woodward, Sophie M., et al.
Pubblicazione: (2024)

Wavelet Based Time Series Models with Time-Varying Thresholds
di: Davis, Rhea, et al.
Pubblicazione: (2026)

A Statistical Framework for Understanding Causal Effects that Vary by Treatment Initiation Time in EHR-based Studies
di: Benz, Luke, et al.
Pubblicazione: (2025)

High-Dimensional Time-Varying Coefficient Estimation in Diffusion Models
di: Kim, Donggyu, et al.
Pubblicazione: (2022)

A General Framework for Powerful Confounder Adjustment in Omics Association Studies
di: Roy, Asmita, et al.
Pubblicazione: (2022)

Bayesian Sensitivity Analysis for Causal Estimation with Time-varying Unmeasured Confounding
di: Zou, Yushu, et al.
Pubblicazione: (2025)

Nonlinear Causal Discovery with Confounders
di: Li, Chunlin, et al.
Pubblicazione: (2023)

Time-Varying Causal Survival Learning
di: Meng, Xiang, et al.
Pubblicazione: (2025)

Time-Varying Functional Cox Model
di: Du, Hongyu, et al.
Pubblicazione: (2024)

Time-Varying Matrix Factor Models
di: Chen, Bin, et al.
Pubblicazione: (2024)

PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Section Data
di: Rauh, Adam, et al.
Pubblicazione: (2025)

Nonconvex High-Dimensional Time-Varying Coefficient Estimation for Noisy High-Frequency Observations with a Factor Structure
di: Shin, Minseok, et al.
Pubblicazione: (2024)

Demystifying Spatial Confounding
di: Dupont, Emiko, et al.
Pubblicazione: (2023)

Time-Varying Multi-Seasonal AR Models
di: Fagerberg, Ganna, et al.
Pubblicazione: (2024)

Addressing the Influence of Unmeasured Confounding in Observational Studies with Time-to-Event Outcomes: A Semiparametric Sensitivity Analysis Approach
di: Amoafo, Linda, et al.
Pubblicazione: (2024)

Spatial Confounding in Multivariate Areal Data Analysis
di: Wu, Kyle Lin, et al.
Pubblicazione: (2025)

Bayesian Causal Discovery with Cycles and Latent Confounders
di: Jin, Wei, et al.
Pubblicazione: (2025)

Double Robust Weighted Regression with Missing Confounders
di: Bagmar, Md. Shaddam Hossain, et al.
Pubblicazione: (2026)

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

Spatial Confounding: A review of concepts, challenges, and current approaches
di: Pim, Isaque Vieira Machado, et al.
Pubblicazione: (2026)