10 citations · 45 across the 35 of their papers we have counts for
5 papers · 1 filter
Kernel-based Partial Permutation Test for Detecting Heterogeneous Functional Relationship
Xinran Li, Bo Jiang, Jun S. Liu
We propose a kernel-based partial permutation test for checking the equality of functional relationship between response and covariates among different groups. The main idea, which…
Rejective Sampling, Rerandomization and Regression Adjustment in Survey Experiments
Zihao Yang, Tianyi Qu, Xinran Li
Classical randomized experiments, equipped with randomization-based inference, provide assumption-free inference for treatment effects. They have been the gold standard for drawing…
Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates
Yuhao Wang, Xinran Li
Completely randomized experiments have been the gold standard for drawing causal inference because they can balance all potential confounding on average. However, they may suffer f…
Randomization-based Test for Censored Outcomes: A New Look at the Logrank Test
Xinran Li, Dylan S. Small
Two-sample tests with censored outcomes are a classical topic in statistics with wide use even in cutting edge applications. There are at least two modes of inference used to justi…
Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects
Devin Caughey, Allan Dafoe, Xinran Li +1
Randomization inference (RI) is typically interpreted as testing Fisher's "sharp" null hypothesis that all unit-level effects are exactly zero. This hypothesis is often criticized…