Cover Image

Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bao, Yihan, Bell, Lauren, Williamson, Elizabeth, Garnett, Claire, Qian, Tianchen
Format:	Preprint
Published:	2023
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
by: Liu, Xueqing, 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)

Inverse Probability Weighting for Recurrent Event Models
by: Sun, Jiren, et al.
Published: (2025)

Inverse Probability Weighting-based Mediation Analysis for Microbiome Data
by: Zhang, Yuexia, et al.
Published: (2021)

On Flexible Inverse Probability of Treatment and Intensity Weighting: Informative Censoring, Variable Inclusion, and Weight Trimming
by: Tompkins, Grace, et al.
Published: (2024)

Efficient and Globally Robust Causal Excursion Effect Estimation
by: Cheng, Zhaoxi, et al.
Published: (2023)

Propensity Score Methods for Local Test Score Equating: Stratification and Inverse Probability Weighting
by: Wallin, Gabriel, et al.
Published: (2024)

Inverse Probability Weighting of Count Exposures in the Presence of Missing Data: A Simulation Study
by: Danka, Martin N., et al.
Published: (2026)

Nonparametric Identification and Estimation of Causal Effects on Latent Outcomes
by: Fu, Jiawei, et al.
Published: (2026)

Estimating Interpretable Heterogeneous Treatment Effect with Causal Subgroup Discovery in Survival Outcomes
by: Bo, Na, et al.
Published: (2024)

Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference
by: Shen, Andy A., et al.
Published: (2025)

Evaluating Binary Outcome Classifiers Estimated from Survey Data
by: Wadekar, Adway S., et al.
Published: (2023)

Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)

Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
by: Ortholand, Juliette, et al.
Published: (2026)

Causally Sound Priors for Binary Experiments
by: Irons, Nicholas J., et al.
Published: (2023)

Exact and Conservative Inference for the Average Treatment Effect in Stratified Experiments with Binary Outcomes
by: Li, Jiaxun, et al.
Published: (2025)

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)

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)

Estimating the Effects of Heatwaves on Health: A Causal Inference Framework
by: Grossi, Giulio, et al.
Published: (2025)

Estimating Default Probability and Correlation using Stan
by: Pinera-Esquivel, Jesus A.
Published: (2024)

lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)

Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes
by: Yang, Lu
Published: (2023)

Estimation of An Infinite Dimensional Transition Probability Matrix Using a Generalized Hierarchical Stick-Breaking Process
by: Saha, Agamani, et al.
Published: (2025)

A Calibrated Sensitivity Analysis for Weighted Causal Decompositions
by: Shen, Andy A., et al.
Published: (2024)

Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)

Estimation and Inference for Causal Explainability
by: Zhang, Weihan, et al.
Published: (2025)

Exploring the Difficulty of Estimating Win Probability: A Simulation Study
by: Brill, Ryan S., et al.
Published: (2024)

Assumption Smuggling in Intermediate Outcome Tests of Causal Mechanisms
by: Blackwell, Matthew, et al.
Published: (2024)

Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)

Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
by: Huang, Shimeng, et al.
Published: (2024)

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation
by: Song, Xinran, et al.
Published: (2025)

What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?
by: Lu, Haidong, et al.
Published: (2026)

Latent Moment Models for Recurrent Binary Outcomes: A Bayesian and Quasi-Distributional Approach
by: Ramezani, Niloofar, et al.
Published: (2026)

Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
by: Dimitriou, Evangelos, et al.
Published: (2024)

Doubly Robust Targeted Estimation of Conditional Average Treatment Effects for Time-to-event Outcomes with Competing Risks
by: Li, Runjia, et al.
Published: (2024)

Compositional Outcomes and Environmental Mixtures: the Dirichlet Bayesian Weighted Quantile Sum Regression
by: Saddiki, Hachem, et al.
Published: (2025)

Robust Emax Model Fitting: Addressing Nonignorable Missing Binary Outcome in Dose-Response Analysis
by: Zhang, Jiangshan, et al.
Published: (2024)

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

Environmental Justice Implications of Power Plant Emissions Control Policies: Heterogeneous Causal Effect Estimation under Bipartite Network Interference
by: Chen, Kevin L., et al.
Published: (2023)

Causal Inference Using Augmented Epidemic Models
by: Bong, Heejong, et al.
Published: (2024)