Cover Image

A Robust Effect Size Index

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vandekar, Simon, Tao, Ran, Blume, Jeffrey
Format:	Preprint
Published:	2019
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Asymptotic Distribution of Robust Effect Size Index
by: Zhang, Xinyu, et al.
Published: (2026)

An Efficient Framework for Robust Sample Size Determination
by: Hagar, Luke, et al.
Published: (2025)

Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects
by: Słoczyński, Tymon, et al.
Published: (2023)

Robust Joint Modeling for Data with Continuous and Binary Responses
by: Wang, Yu, et al.
Published: (2026)

A Differential Effect Approach to Partial Identification of Treatment Effects
by: Chen, Kan, et al.
Published: (2023)

Robust model selection using likelihood as data
by: Choi, Jongwoo, et al.
Published: (2026)

Parametric MMD Estimation with Missing Values: Robustness to Missingness and Data Model Misspecification
by: Chérief-Abdellatif, Badr-Eddine, et al.
Published: (2025)

Prior Effective Sample Size When Borrowing on the Treatment Effect Scale
by: Zhang, Hongtao, et al.
Published: (2024)

Robust Power and Sample Size Calculations in Quasi-likelihood Models: Methods and Practice
by: Yuan, Shijie, et al.
Published: (2026)

Doubly Robust Machine Learning for Population Size Estimation with Missing Covariates: Application to Gaza Conflict Mortality
by: Rubio, Mateo Dulce, et al.
Published: (2026)

Robust designs for Gaussian process emulation of computer experiments
by: Mak, Simon, et al.
Published: (2025)

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

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

Causal-DRF: Conditional Kernel Treatment Effect Estimation using Distributional Random Forest
by: Näf, Jeffrey, et al.
Published: (2024)

BESS: A Bayesian Estimator of Sample Size
by: Bi, Dehua, et al.
Published: (2024)

The Proximal Surrogate Index: Long-Term Treatment Effects under Unobserved Confounding
by: Hung, Ting-Chih, et al.
Published: (2026)

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

Robust Inference for Mediated Effects in Partially Linear Models
by: Hines, Oliver, et al.
Published: (2020)

Randomization-Based Inference for Average Treatment Effects in Inexactly Matched Observational Studies
by: Zhu, Jianan, et al.
Published: (2023)

From Estimands to Robust Inference of Treatment Effects in Platform Trials
by: Qian, Yuhan, et al.
Published: (2024)

Model-Robust Direct Effect Under Confounder-Mediator Ambiguity
by: Ghassami, AmirEmad
Published: (2026)

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)

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

Bayesian Estimation of Hierarchical Linear Models from Incomplete Data: Cluster-Level Interaction Effects and Small Sample Sizes
by: Shin, Dongho, et al.
Published: (2024)

(Visualizing) Plausible Treatment Effect Paths
by: Freyaldenhoven, Simon, et al.
Published: (2025)

Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect
by: Słoczyński, Tymon, et al.
Published: (2022)

A Bayesian Approach to Estimating Effect Sizes in Educational Research
by: Bähni, Yannis
Published: (2025)

Mastering an Accurate and Generalizable Simulation-Based Method to Obtain Bias-corrected Point Estimates and Sampling Variance for Any Effect Sizes
by: Nakagawa, Shinichi, et al.
Published: (2025)

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

A sensitivity analysis for the average derivative effect
by: Zhang, Jeffrey
Published: (2025)

Impossibility of Distribution-Free Predictive Inference for Individual Treatment Effects
by: Tao, Chongguang, et al.
Published: (2026)

Exact PPS Sampling with Bounded Sample Size
by: Hentschel, Brian, et al.
Published: (2021)

Optimal Hold-Out Size in Cross-Validation
by: McAlinn, Kenichiro, et al.
Published: (2025)

A Severity-Aware Reliability Index for Risk-Informed Structural Design
by: Leblouba, Moussa, et al.
Published: (2025)

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

Multiply Robust Inference of Average Treatment Effects by High-dimensional Empirical Likelihood
by: Xia, Xintao, et al.
Published: (2025)

Robust Estimation and Inference in Panels with Interactive Fixed Effects
by: Armstrong, Timothy B., et al.
Published: (2022)

A general condition for bias attenuation by a nondifferentially mismeasured confounder
by: Zhang, Jeffrey, et al.
Published: (2024)

Bayesian Multiple Index Models for Environmental Mixtures
by: McGee, Glen, et al.
Published: (2021)