Comparing the performance of statistical methods that generalize effect estimates from randomized controlled trials to much larger target populations. - Ian Schmid; Kara E. Rudolph; Trang Quynh Nguyen; Hwanhee Hong; Marissa J. Seamans; Benjamin Ackerman; Elizabeth A. Stuart (Commun. Stat. Simul. Comput., 2022)

'medoutcon': Nonparametric efficient causal mediation analysis with machine learning in 'R'. - Nima S. Hejazi; Kara E. Rudolph; Iván Díaz (J. Open Source Softw., 2022)

Who Are We Missing? A Principled Approach to Characterizing the Underrepresented Population. - Harsh Parikh; Rachael Ross; Elizabeth A. Stuart; Kara E. Rudolph (CoRR, 2024)

A drug classification pipeline for Medicaid claims using RxNorm. - Nicholas Williams; Kara E. Rudolph (CoRR, 2024)

General targeted machine learning for modern causal mediation analysis. - Richard Liu; Nicholas T. Williams; Kara E. Rudolph; Iván Díaz (CoRR, 2024)

A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference. - Harsh Parikh; Trang Quynh Nguyen; Elizabeth A. Stuart; Kara E. Rudolph; Caleb H. Miles (CoRR, 2025)