3 papers
stat.ME2025
Why Is the Double-Robust Estimator for Causal Inference Not Doubly Robust for Variance Estimation?
Hao Wu, Lucy Shao, Toni Gui +6
Doubly robust estimators (DRE) are widely used in causal inference because they yield consistent estimators of average causal effect when at least one of the nuisance models, the p…
stat.ME2024
A doubly robust estimator for the Mann Whitney Wilcoxon Rank Sum Test when applied for causal inference in observational studies
Ruohui Chen, Tuo Lin, Lin Liu +8
The Mann-Whitney-Wilcoxon rank sum test (MWWRST) is a widely used method for comparing two treatment groups in randomized control trials, particularly when dealing with highly skew…
q-bio.GN2021
Modeling Homophily in Dynamic Networks with Application to HIV Molecular Surveillance
V. DeGruttola, M. Nakazawa, J. Liu +3
This paper describes a novel approach to modeling homphily, i.e. the tendency of nodes that share (or differ in) certain attributes to be linked; we consider dynamic networks in wh…