:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Richardson, Brian D., Blette, Bryan S., Gilbert, Peter B., Hudgens, Michael G.
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2407.09443
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantifying the HIV reservoir with dilution assays and deep viral sequencing
by: Lotspeich, Sarah C., et al.
Published: (2023)

Accounting for spillover when using the augmented synthetic control method: estimating the effect of localized COVID-19 lockdowns in Chile
by: Krajewski, Taylor, et al.
Published: (2025)

Efficient nonparametric estimation with difference-in-differences in the presence of network dependence and interference
by: Jetsupphasuk, Michael, et al.
Published: (2025)

An overview of methods for receiver operating characteristic analysis, with an application to SARS-CoV-2 vaccine-induced humoral responses in solid organ transplant recipients
by: Dowd, Nathaniel P., et al.
Published: (2024)

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

Improving Causal Inference with Measurement Errors in Exposures and Confounders: A New Method and Its Application to Air Pollution Exposure Assessment and Epidemiology
by: Kim, Honghyok
Published: (2024)

Sample Size and Bias Approximations For Continuous Exposures Measured with Error
by: Kim, Honghyok
Published: (2024)

Measurement Error Correction for Spatially Defined Environmental Exposures in Survival Analysis
by: Ge, Lin, et al.
Published: (2024)

Evaluating Informative Cluster Size in Cluster Randomized Trials
by: Blette, Bryan S., et al.
Published: (2025)

A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes
by: Prim, Shih-Ni, et al.
Published: (2025)

Flexible and Efficient Estimation of Causal Effects with Error-Prone Exposures: A Control Variates Approach for Measurement Error
by: Barnatchez, Keith, et al.
Published: (2024)

G-Formula for Observational Studies under Stratified Interference, with Application to Bed Net Use on Malaria
by: Kilpatrick, Kayla W., et al.
Published: (2021)

Difference-in-differences with stochastic policy shifts of a continuous treatment
by: Jetsupphasuk, Michael, et al.
Published: (2025)

Demystifying estimands in cluster-randomised trials
by: Kahan, Brennan C, et al.
Published: (2023)

Nonparametric Causal Survival Analysis with Clustered Interference
by: Lee, Chanhwa, et al.
Published: (2024)

Correcting Measurement Error and Zero Inflation in Functional Covariates for Scalar-on-Function Quantile Regression
by: Qin, Caihong, et al.
Published: (2026)

Assessing Vaccine Effectiveness in Observational Studies via Nested Trial Emulation
by: DeMonte, Justin B., et al.
Published: (2024)

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

Symmetric Vaccine Efficacy
by: McGowan, Lucy D'Agostino, et al.
Published: (2025)

Finite sample performance of optimal treatment rule estimators with right-censored outcomes
by: Jetsupphasuk, Michael, et al.
Published: (2024)

Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction
by: Tang, Wenze, et al.
Published: (2023)

Addressing Confounding by Indication Through (Un)Measured Centre Characteristics in Learn-As-you-GO(LAGO) Trials
by: Bui, Minh Thu, et al.
Published: (2026)

Auditing Fairness under Unobserved Confounding
by: Byun, Yewon, et al.
Published: (2024)

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

Quasi Instrumental Variable Methods for Stable Hidden Confounding and Binary Outcome
by: Liu, Zhonghua, et al.
Published: (2025)

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

A Corrected Score Function Framework for Modelling Circadian Gene Expression
by: Gorczyca, Michael, et al.
Published: (2024)

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

MECfda: An R Package for Bias Correction Due to Measurement Error in Functional and Scalar Covariates in Scalar-on-Function Regression Models
by: Ji, Heyang, et al.
Published: (2025)

Regularized Principal Spline Functions to Mitigate Spatial Confounding
by: Zaccardi, Carlo, et al.
Published: (2024)

Sharp Bounds for Continuous-Valued Treatment Effects with Unobserved Confounders
by: Baitairian, Jean-Baptiste, et al.
Published: (2024)

Two-stage Estimators for Spatial Confounding with Point-Referenced Data
by: Wiecha, Nate, et al.
Published: (2024)

Transportability of Regression Calibration with External Validation Studies for Measurement Error Correction
by: Li, Zexiang, et al.
Published: (2026)

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

The Role of Measured Covariates in Assessing Sensitivity to Unmeasured Confounding
by: Dalal, Abhinandan, et al.
Published: (2026)

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
by: Li, Yuhan, et al.
Published: (2025)

Using Overlap Weights to Address Extreme Propensity Scores in Estimating Restricted Mean Counterfactual Survival Times
by: Cao, Zhiqiang, et al.
Published: (2023)

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

Visibility graph-based covariance functions for scalable spatial analysis in non-convex domains
by: Gilbert, Brian, et al.
Published: (2023)

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