Sensitivity Analysis of Inverse Probability Weighting Estimators of Causal Effects in Observational Studies with Multivalued Treatments
Fuente:
arXiv
Saved in:
| Main Authors: | Basit, Md Abdul, Latif, Mahbub A. H. M., Wahed, Abdus S |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Sequential Hypothesis Testing with Generalized Estimating Equations for Incomplete Clustered and Longitudinal Data
by: Provost, Nathan T., et al.
Published: (2026)
by: Provost, Nathan T., et al.
Published: (2026)
Interim Analysis in Sequential Multiple Assignment Randomized Trials for Survival Outcomes
by: Wang, Zi, et al.
Published: (2025)
by: Wang, Zi, et al.
Published: (2025)
Variance Estimation for the Inverse Probability of Treatment Weighted Kaplan Meier Estimator
by: Zhang, Zhiwei, et al.
Published: (2025)
by: Zhang, Zhiwei, et al.
Published: (2025)
Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
by: Bao, Yihan, et al.
Published: (2023)
by: Bao, Yihan, et al.
Published: (2023)
Quantile Outcome Adaptive Lasso: Covariate Selection for Inverse Probability Weighting Estimator of Quantile Treatment Effects
by: Shoji, Takehiro, et al.
Published: (2024)
by: Shoji, Takehiro, et al.
Published: (2024)
On Flexible Inverse Probability of Treatment and Intensity Weighting: Informative Censoring, Variable Inclusion, and Weight Trimming
by: Tompkins, Grace, et al.
Published: (2024)
by: Tompkins, Grace, et al.
Published: (2024)
Estimator-Aligned Prospective Sample Size Determination for Designs Using Inverse Probability of Treatment Weighting
by: Hong, Taekwon, et al.
Published: (2026)
by: Hong, Taekwon, et al.
Published: (2026)
Inverse Probability Weighting-based Mediation Analysis for Microbiome Data
by: Zhang, Yuexia, et al.
Published: (2021)
by: Zhang, Yuexia, et al.
Published: (2021)
A Random Forest Inverse Probability Weighted Pseudo-Observation Framework for Alternating Recurrent Events
by: Loe, Abigail, et al.
Published: (2025)
by: Loe, Abigail, et al.
Published: (2025)
A Calibrated Sensitivity Analysis for Weighted Causal Decompositions
by: Shen, Andy A., et al.
Published: (2024)
by: Shen, Andy A., et al.
Published: (2024)
Inverse Probability Weighting for Recurrent Event Models
by: Sun, Jiren, et al.
Published: (2025)
by: Sun, Jiren, et al.
Published: (2025)
Design Sensitivity and Its Implications for Weighted Observational Studies
by: Huang, Melody, et al.
Published: (2023)
by: Huang, Melody, et al.
Published: (2023)
Treatment Effect Estimation in Causal Survival Analysis: Practical Recommendations
by: Voinot, Charlotte, et al.
Published: (2025)
by: Voinot, Charlotte, et al.
Published: (2025)
Balancing Weights for Causal Inference in Observational Factorial Studies
by: Yu, Ruoqi, et al.
Published: (2023)
by: Yu, Ruoqi, et al.
Published: (2023)
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies
by: Shi, Xiaochuan, et al.
Published: (2025)
by: Shi, Xiaochuan, et al.
Published: (2025)
The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
by: Fisher, Aaron
Published: (2023)
by: Fisher, Aaron
Published: (2023)
Ratio of Mediator Probability Weighting for Estimating Natural Direct and Indirect Effects
by: Hong, Guanglei
Published: (2025)
by: Hong, Guanglei
Published: (2025)
Double Variable Importance Matching to Estimate Distinct Causal Effects on Event Probability and Timing
by: Li, Yuqi, et al.
Published: (2026)
by: Li, Yuqi, et al.
Published: (2026)
Inverse Probability Weighting of Count Exposures in the Presence of Missing Data: A Simulation Study
by: Danka, Martin N., et al.
Published: (2026)
by: Danka, Martin N., et al.
Published: (2026)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
by: Wang, Yuhao, et al.
Published: (2020)
by: Wang, Yuhao, et al.
Published: (2020)
Stabilized Inverse Probability Weighting via Isotonic Calibration
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Variance Estimation for Weighted Average Treatment Effects
by: Li, Huiyue, et al.
Published: (2025)
by: Li, Huiyue, et al.
Published: (2025)
Bridging the Gap Between Design and Analysis: Randomization Inference and Sensitivity Analysis for Matched Observational Studies with Treatment Doses
by: Zhang, Jeffrey, et al.
Published: (2024)
by: Zhang, Jeffrey, et al.
Published: (2024)
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect
by: Słoczyński, Tymon, et al.
Published: (2022)
by: Słoczyński, Tymon, et al.
Published: (2022)
Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)
by: Goplerud, Max, et al.
Published: (2022)
Application of Propensity Score Models and Causal Estimators in Observational Studies under Model Misspecification
by: Das, Apu Chandra, et al.
Published: (2026)
by: Das, Apu Chandra, et al.
Published: (2026)
Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
by: Zheng, Jiajing, et al.
Published: (2021)
by: Zheng, Jiajing, et al.
Published: (2021)
Quantifying Treatment Effects: Estimating Risk Ratios in Causal Inference
by: Boughdiri, Ahmed, et al.
Published: (2024)
by: Boughdiri, Ahmed, et al.
Published: (2024)
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
by: Harada, Kazuharu, et al.
Published: (2021)
by: Harada, Kazuharu, et al.
Published: (2021)
Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference
by: Zhou, Lingxiao, et al.
Published: (2024)
by: Zhou, Lingxiao, et al.
Published: (2024)
Living forwards or understanding backwards? A comparison of Inverse Probability of Treatment Weighting and G-estimation methods for targeting hypothetical full adherence estimands in longitudinal cohort studies
by: Liang, Xiaoran, et al.
Published: (2026)
by: Liang, Xiaoran, et al.
Published: (2026)
Bayesian Sensitivity Analysis for Causal Estimation with Time-varying Unmeasured Confounding
by: Zou, Yushu, et al.
Published: (2025)
by: Zou, Yushu, et al.
Published: (2025)
Sensitivity Analysis for Observational Studies with Flexible Matched Designs
by: Li, Xinran
Published: (2024)
by: Li, Xinran
Published: (2024)
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
by: Branson, Zach, et al.
Published: (2023)
by: Branson, Zach, et al.
Published: (2023)
Partially Retargeted Balancing Weights for Causal Effect Estimation Under Positivity Violations
by: Barnard, Martha, et al.
Published: (2025)
by: Barnard, Martha, et al.
Published: (2025)
Differentially Private Estimation of Weighted Average Treatment Effects for Binary Outcomes
by: Guha, Sharmistha, et al.
Published: (2024)
by: Guha, Sharmistha, et al.
Published: (2024)
A Unified Approach for Estimating Various Treatment Effects in Causal Inference
by: Wu, Kuan-Hsun, et al.
Published: (2025)
by: Wu, Kuan-Hsun, et al.
Published: (2025)
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021)
by: Qu, Zhaonan, et al.
Published: (2021)
Model-Agnostic Bounds for Augmented Inverse Probability Weighted Estimators' Wald-Confidence Interval Coverage in Randomized Controlled Trials
by: Qiu, Hongxiang
Published: (2025)
by: Qiu, Hongxiang
Published: (2025)
Propensity Score Methods for Local Test Score Equating: Stratification and Inverse Probability Weighting
by: Wallin, Gabriel, et al.
Published: (2024)
by: Wallin, Gabriel, et al.
Published: (2024)
Similar Items
-
Robust Sequential Hypothesis Testing with Generalized Estimating Equations for Incomplete Clustered and Longitudinal Data
by: Provost, Nathan T., et al.
Published: (2026) -
Interim Analysis in Sequential Multiple Assignment Randomized Trials for Survival Outcomes
by: Wang, Zi, et al.
Published: (2025) -
Variance Estimation for the Inverse Probability of Treatment Weighted Kaplan Meier Estimator
by: Zhang, Zhiwei, et al.
Published: (2025) -
Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
by: Bao, Yihan, et al.
Published: (2023) -
Quantile Outcome Adaptive Lasso: Covariate Selection for Inverse Probability Weighting Estimator of Quantile Treatment Effects
by: Shoji, Takehiro, et al.
Published: (2024)