Cover Image

Efficient and Globally Robust Causal Excursion Effect Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cheng, Zhaoxi, Bell, Lauren, Qian, Tianchen
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Doubly Robust Estimation of Causal Excursion Effects in Micro-Randomized Trials with Missing Longitudinal Outcomes
by: Yu, Jiaxin, et al.
Published: (2024)

Robust Estimation of Moderated Causal Excursion Odds Ratio in Micro-Randomized Trials
by: Yu, Jiaxin, et al.
Published: (2025)

Distal Causal Excursion Effects: Modeling Long-Term Effects of Time-Varying Treatments in Micro-Randomized Trials
by: Qian, Tianchen
Published: (2025)

Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
by: Bao, Yihan, et al.
Published: (2023)

Micro-randomized Trials with Categorical Treatments: Causal Effect Estimation and Sample Size Calculation
by: Lin, Jeremy, et al.
Published: (2025)

Dynamic Causal Mediation Analysis for Intensive Longitudinal Data
by: Qian, Tianchen
Published: (2025)

Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
by: Liu, Xueqing, et al.
Published: (2023)

A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
by: Shi, Jieru, et al.
Published: (2023)

Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial
by: Yu, Jiaxin, et al.
Published: (2024)

Auto-Doubly Robust Estimation of Causal Effects on a Network
by: Liu, Jizhou, et al.
Published: (2025)

Multiply Robust Difference-in-Differences Estimation of Causal Effect Curves for Continuous Exposures
by: Hettinger, Gary, et al.
Published: (2024)

Why Is the Double-Robust Estimator for Causal Inference Not Doubly Robust for Variance Estimation?
by: Wu, Hao, et al.
Published: (2025)

Causal Inference on Missing Exposure via Robust Estimation
by: Shi, Yuliang, et al.
Published: (2024)

Text Rationalization for Robust Causal Effect Estimation
by: Zhang, Lijinghua, et al.
Published: (2025)

Local Causal Discovery for Estimating Causal Effects
by: Gupta, Shantanu, et al.
Published: (2023)

Instrumental Variable Estimation of Distributional Causal Effects
by: Kook, Lucas, et al.
Published: (2024)

A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects
by: Pham, Khiem, et al.
Published: (2023)

Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements
by: Barnatchez, Keith, et al.
Published: (2025)

Marginal Causal Effect Estimation with Continuous Instrumental Variables
by: Dong, Mei, et al.
Published: (2025)

Enhancing Causal Effect Estimation with Diffusion-Generated Data
by: Chen, Li, et al.
Published: (2025)

Estimating Complier Average Causal Effects with Mixtures of Experts
by: Grolleau, François, et al.
Published: (2024)

Estimating Average Causal Effects with Incomplete Exposure and Confounders
by: Wen, Lan, 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)

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation
by: McGowan, Lucy D'Agostino
Published: (2025)

Robust Bayesian Inference of Causal Effects via Randomization Distributions
by: Huch, Easton, et al.
Published: (2025)

Towards Robust Causal Effect Identification Beyond Markov Equivalence
by: Teh, Kai Z., et al.
Published: (2025)

Quantifying Treatment Effects: Estimating Risk Ratios in Causal Inference
by: Boughdiri, Ahmed, et al.
Published: (2024)

Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
by: Harada, Kazuharu, et al.
Published: (2021)

Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference
by: Zhou, Lingxiao, et al.
Published: (2024)

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

Efficient Inference for Incremental Causal Effects of Time to Treatment
by: Zhao, Zhichen, et al.
Published: (2026)

The Amenability Framework: Rethinking Causal Ordering Without Estimating Causal Effects
by: Fernández-Loría, Carlos, et al.
Published: (2025)

Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models
by: Davezies, Laurent, et al.
Published: (2021)

Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency
by: Gorbach, Tetiana, et al.
Published: (2021)

On Efficient Adjustment for Micro Causal Effects in Summary Causal Graphs
by: Belciug, Isabela, et al.
Published: (2025)

A Unified Approach for Estimating Various Treatment Effects in Causal Inference
by: Wu, Kuan-Hsun, et al.
Published: (2025)

Causal Effect Estimation with Learned Instrument Representations
by: Dean, Frances, et al.
Published: (2026)

Asymptotically Efficient Data-adaptive Penalized Shrinkage Estimation with Application to Causal Inference
by: Susmann, Herbert P., et al.
Published: (2025)

Doubly Robust Nonparametric Efficient Estimation for Provider Evaluation
by: Susmann, Herbert, et al.
Published: (2024)

Robust and Computationally Efficient Trimmed L-Moments Estimation for Parametric Distributions
by: Poudyal, Chudamani, et al.
Published: (2025)