Showing 1–20 of 24 results
/ Date/ Name
Jan 7, 2021Regression-based causal inference with factorial experiments: estimands, model specifications, and design-based propertiesOct 27, 2020Covariate-adjusted Fisher randomization tests for the average treatment effectJan 20, 2026Two-stage Least Squares with Clustered Data under the Local Average Treatment Effect FrameworkJul 31, 2021To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariatesDec 20, 2021No star is good news: A unified look at rerandomization based on $p$-values from covariate balance testsNov 17, 2023Covariate adjustment in randomized experiments with missing outcomes and covariatesSep 26, 2022Rerandomization and covariate adjustment in split-plot designsMay 3, 2021Reconciling design-based and model-based causal inferences for split-plot experimentsFeb 1, 2025Two-stage least squares with treatment-covariate interactions for treatment effect heterogeneityDec 20, 2021Covariate adjustment in multi-armed, possibly factorial experimentsDec 18, 2022Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted AttacksAug 13, 2015Neyman-Pearson Classification under High-Dimensional SettingsFeb 25, 2026Design-based theory for causal inference from adaptive experimentsOct 28, 2024Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language ModelsMar 18, 2016MSIQ: Joint Modeling of Multiple RNA-seq Samples for Accurate Isoform QuantificationDec 7, 2024GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language ModelsNov 16, 2024Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code GenerationJul 16, 2024Factorial Difference-in-DifferencesSep 15, 2023Dynamic Visual Semantic Sub-Embeddings and Fast Re-RankingJul 17, 2023A randomization-based theory for preliminary testing of covariate balance in controlled trials