From the 1 of 4 linked papers with an AI index.
4 papers
Doubly Robust Estimators of Quantile Treatment Effects With Semiparametric Cumulative Probability Models
Hao Wu, Chun Li, Bryan E. Shepherd
The paper proposes doubly robust semiparametric methods based on cumulative probability models to estimate quantile treatment effects and related distributional measures, providing…
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…
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…
Between- and Within-Cluster Spearman Rank Correlations
Shengxin Tu, Chun Li, Bryan E. Shepherd
Clustered data are common in practice. Clustering arises when subjects are measured repeatedly, or subjects are nested in groups (e.g., households, schools). It is often of interes…