4 papers · 1 filter
Explained Variation under the Additive Hazards Model
Denise Rava, Ronghui Xu
We study explained variation under the additive hazards regression model for right-censored data. We consider different approaches for developing such a measure, and focus on one t…
Sensitivity Analysis of Treatment Effect to Unmeasured Confounding in Observational Studies with Survival and Competing Risks Outcomes
Rong Huang, Ronghui Xu, Parambir S. Dulai
No unmeasured confounding is often assumed in estimating treatment effects in observational data when using approaches such as propensity scores and inverse probability weighting.…
Two-Stage Residual Inclusion under the Additive Hazards Model - An Instrumental Variable Approach with Application to SEER-Medicare Linked Data
Andrew Ying, Ronghui Xu, James Murphy
Instrumental variable is an essential tool for addressing unmeasured confounding in observational studies. Two stage predictor substitution (2SPS) estimator and two stage residual…
The Impact of Confounder Selection in Propensity Scores for Rare Events Data - with Applications to Birth Defects
Ronghui Xu, Jue Hou, Christina D. Chambers
Our work was motivated by a recent study on birth defects of infants born to pregnant women exposed to a certain medication for treating chronic diseases. Outcomes such as birth de…