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stat.ME2026
Powerful Multivariate Sensitivity Analysis via Sample Splitting in an Observational Study of the Effects of Poverty on Cardiovascular Disease Risk Factors
William Bekerman, Anurag Mehta, Rebecca E. Hasson +3
When assessing the causal effect of an exposure on two or more outcomes in an observational study, a linear combination of outcomes may lessen the sensitivity of a test of the glob…
stat.ME2024
Planning for gold: Hypothesis screening with split samples for valid powerful testing in matched observational studies
William Bekerman, Abhinandan Dalal, Carlo del Ninno +1
Observational studies are valuable tools for inferring causal effects in the absence of controlled experiments. However, these studies may be biased due to the presence of some rel…