Showing 1–20 of 134 results
/ Date/ Name
Jun 20, 2018Regression adjustment in completely randomized experiments with a diverging number of covariatesJul 31, 2021To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariatesApr 9, 2021Model-assisted analyses of cluster-randomized experimentsMay 28, 2023Flexible sensitivity analysis for causal inference in observational studies subject to unmeasured confoundingMay 30, 2023A First Course in Causal InferenceAug 2, 2014To Adjust or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-BiasJan 16, 2017Instrumental variables as bias amplifiers with general outcome and confoundingMar 6, 2018Using Survival Information in Truncation by Death Problems Without the Monotonicity AssumptionJul 14, 2015Sensitivity Analysis Without AssumptionsMay 10, 2025A novel class of arbitrary high-order numerical schemes for fractional differential equationsMay 17, 2025Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard EnhancementSep 16, 2025Inverse regression for causal inference with multiple outcomesMar 29, 2024MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language ModelsJan 7, 2021Regression-based causal inference with factorial experiments: estimands, model specifications, and design-based propertiesAug 6, 2020Identification of Causal Effects Within Principal Strata Using Auxiliary VariablesOct 27, 2020Covariate-adjusted Fisher randomization tests for the average treatment effectOct 19, 2020Measuring Density Functional Parameters from Electron Diffraction PatternsMar 9, 2019Two seemingly paradoxical results in linear models: the variance inflation factor and the analysis of covarianceMar 30, 2023When is the estimated propensity score better? High-dimensional analysis and bias correctionJan 28, 2023Forward selection and post-selection inference in factorial designs