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stat.ME2025
Estimating treatment effects with a unified semi-parametric difference-in-differences approach
Julia C. Thome, Andrew J. Spieker, Peter F. Rebeiro +3
Difference-in-differences (DID) approaches are widely used for estimating causal effects with observational data before and after an intervention. DID traditionally estimates the a…
stat.ME2025
Unified and Simple Sample Size Calculations for Individual or Cluster Randomized Trials with Skewed or Ordinal Outcomes
Shengxin Tu, Chun Li, Caroline De Schacht +4
Sample size calculations can be challenging with skewed continuous outcomes in randomized controlled trials (RCTs). Standard t-test-based calculations may require data transformati…