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A randomization-based perspective of analysis of variance: a test statistic robust to treatment effect heterogeneity
v1v2 (latest)

A randomization-based perspective of analysis of variance: a test statistic robust to treatment effect heterogeneity

Peng Ding
Tirthankar Dasgupta
ArXiv (abs)PDFHTML

Papers citing "A randomization-based perspective of analysis of variance: a test statistic robust to treatment effect heterogeneity"

4 / 4 papers shown
Title
Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects
Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects
Devin Caughey
Allan Dafoe
Xinran Li
Luke W. Miratrix
42
32
0
22 Jan 2021
Covariate-adjusted Fisher randomization tests for the average treatment effect
Covariate-adjusted Fisher randomization tests for the average treatment effect
Anqi Zhao
Peng Ding
49
43
0
27 Oct 2020
Leveraging the Fisher randomization test using confidence distributions: inference, combination and fusion learning
Leveraging the Fisher randomization test using confidence distributions: inference, combination and fusion learning
Xiaokang Luo
Tirthankar Dasgupta
Min‐ge Xie
Regina Y. Liu
CML
18
18
0
17 Apr 2020
General forms of finite population central limit theorems with applications to causal inference
General forms of finite population central limit theorems with applications to causal inference
Xinran Li
Peng Ding
AI4CE
68
193
0
16 Oct 2016

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