High-Dimensional Variable Selection and Prediction under Competing Risks with Application to SEER-Medicare Linked Data

Jiayi Hou, Anthony Paravati, Ronghui Xu +1

Sensitivity Analysis of Treatment Effect to Unmeasured Confounding in Observational Studies with Survival and Competing Risks Outcomes

Rong Huang, Ronghui Xu, Parambir S. Dulai

The paper proposes methods to assess how unmeasured confounding might bias treatment effect estimates in observational studies with survival and competing risks outcomes, using sen…

Fine-Gray competing risks model with high-dimensional covariates: estimation and Inference

Jue Hou, Jelena Bradic, Ronghui Xu

The Impact of Confounder Selection in Propensity Scores for Rare Events Data - with Applications to Birth Defects

Ronghui Xu, Jue Hou, Christina D. Chambers

A Nonparametric Maximum Likelihood Approach for Partially Observed Cured Data with Left Truncation and Right-Censoring

Jue Hou, Christina D. Chambers, Ronghui Xu

Semiparametric Sieve Maximum Likelihood Estimation Under Cure Model with Partly Interval Censored and Left Truncated Data for Application to Spontaneous Abortion Data

Yuan Wu, Christina D. Chambers, Ronghui Xu

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