:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jeffrey, Lee, Junu
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2409.12928
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
by: Cheng, Chao, et al.
Published: (2023)

Boosting e-BH via conditional calibration
by: Lee, Junu, et al.
Published: (2024)

Disentangling spatial interference and spatial confounding biases in causal inference
by: Ogunsola, Isqeel, et al.
Published: (2026)

Full-conformal novelty detection
by: Lee, Junu, et al.
Published: (2025)

Power of masking methods for adaptive testing in a multivariate normal means problem
by: Chakraborty, Abhinav, et al.
Published: (2026)

Simultaneous inference for generalized linear models with unmeasured confounders
by: Du, Jin-Hong, et al.
Published: (2023)

A joint modeling approach to treatment effects estimation with unmeasured confounders
by: Lee, Namhwa, et al.
Published: (2024)

A causal inference framework for spatial confounding
by: Gilbert, Brian, et al.
Published: (2021)

Parameter identification in linear non-Gaussian causal models under general confounding
by: Tramontano, Daniele, et al.
Published: (2024)

Dynamical causality under invisible confounders
by: Yan, Jinling, et al.
Published: (2024)

Predictive posteriors under hidden confounding
by: Meixide, Carlos García, et al.
Published: (2025)

An average-case sensitivity analysis for unmeasured confounding
by: Zhang, Yao, et al.
Published: (2022)

Treatment effect extrapolation in the presence of unmeasured confounding
by: Riley, Stephanie, et al.
Published: (2025)

Interpretable sensitivity analysis for the Baron-Kenny approach to mediation with unmeasured confounding
by: Zhang, Mingrui, et al.
Published: (2022)

A regression-based approach for bidirectional proximal causal inference in the presence of unmeasured confounding
by: Min, Jiaqi, et al.
Published: (2025)

Recanting twins: addressing intermediate confounding in mediation analysis
by: Vo, Tat-Thang, et al.
Published: (2024)

Consistency of common spatial estimators under spatial confounding
by: Gilbert, Brian, et al.
Published: (2023)

Spatial causal inference in the presence of unmeasured confounding and interference
by: Papadogeorgou, Georgia, et al.
Published: (2023)

Semiparametric sensitivity analysis: unmeasured confounding in observational studies
by: Nabi, Razieh, et al.
Published: (2021)

Adjusting for indirectly measured confounding using large-scale propensity scores
by: Zhang, Linying, et al.
Published: (2021)

Partial identification and unmeasured confounding with multiple treatments and multiple outcomes
by: Kang, Suyeon, et al.
Published: (2023)

Bidirectional causal inference for binary outcomes in the presence of unmeasured confounding
by: Deng, Yafang, et al.
Published: (2026)

Mediation analysis with unmeasured confounding between parallel mediators and outcome
by: Shuai, Kang, et al.
Published: (2023)

Data fusion methods for the heterogeneity of treatment effect and confounding function
by: Yang, Shu, et al.
Published: (2020)

Causal exposure-response curve estimation with surrogate confounders: a study of air pollution and children's health in Medicaid claims data
by: Lee, Jenny J., et al.
Published: (2023)

Correcting for confounding in longitudinal experiments: positioning non-linear mixed effects modeling as implementation of standardization using latent conditional exchangeability
by: Bartels, Christian, et al.
Published: (2024)

Latent confounding in high-dimensional nonlinear models
by: Wang, Yuhao, et al.
Published: (2025)

A confounding bridge approach for double negative control inference on causal effects
by: Miao, Wang, et al.
Published: (2018)

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

Evaluation and comparison of covariate balance metrics in studies with time-dependent confounding
by: Adenyo, David, et al.
Published: (2024)

Interval identification of natural effects in the presence of outcome-related unmeasured confounding
by: Doretti, Marco, et al.
Published: (2024)

Estimating causal effects of continuous-time dynamic treatments with unmeasured confounders
by: Zhu, Haiyan, et al.
Published: (2026)

Efficient estimation of average treatment effects with unmeasured confounding and proxies
by: Ai, Chunrong, et al.
Published: (2025)

A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
by: Urdangarin, A., et al.
Published: (2023)

Controlling for discrete unmeasured confounding in nonlinear causal models
by: Burauel, Patrick, et al.
Published: (2024)

Tree-based methods for length-biased survival data
by: Lee, Jinwoo, et al.
Published: (2025)

crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding
by: Liu, Richard, et al.
Published: (2026)

Flexible sensitivity analysis for causal inference in observational studies subject to unmeasured confounding
by: Lu, Sizhu, et al.
Published: (2023)

Identification and estimation of vaccine effectiveness in the test-negative design under equi-confounding
by: Boyer, Christopher B., et al.
Published: (2025)

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