3 papers
stat.ME2026
What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?
Haidong Lu, Fan Li, Laine E. Thomas
The growing availability of large health databases has expanded the use of observational studies for comparative effectiveness research. Unlike randomized trials, observational stu…
stat.ME2025
On the Graphical Rules for Recovering the Average Treatment Effect Under Selection Bias
Yichi Zhang, Haidong Lu
Selection bias is a major obstacle toward valid causal inference in epidemiology. Over the past decade, several graphical rules based on causal diagrams have been proposed as suffi…
stat.ME2025
Constructing g-computation estimators: two case studies in selection bias
Paul N Zivich, Haidong Lu
G-computation is a useful estimation method that can be adapted to address various biases in epidemiology. However, these adaptations may not be obvious for some complex causal str…