Publications

1. Robust Inference for Risk Heterogeneity under Group Imbalance
   M. Xu, S. Maity, J. Dubin
   Under review, Statistics in Biosciences, 2026
   Code
2. Diagnosis-based Mortality Prediction for Intensive Care Unit Patients via Transfer Learning
   M. Xu, S. Maity, J. Dubin
   Resubmission invited, Canadian Journal of Statistics, 2025
3. Enhancing Inference for Small Cohorts via Transfer Learning and Weighted Integration of Heterogeneous Datasets
   S. Guha, M. Xu, Y. Li
   Resubmission invited, Annals of Applied Statistics, 2026
4. The R package WMAP: Tools for Causal Meta-Analysis by Integrating Multiple Observational Studies
   S. Guha, M. Xu, C. Reed, K. Priyam, Y. Li
   The R Journal, 2026
   Package

Ongoing projects

• In progress

  Transfer learning for multi-state models

  A transfer learning framework for multi-state Cox models with data-driven source selection to guard against negative transfer, applied to transitions between invasive mechanical ventilation and death in the eICU Collaborative Research Database.

Software

• R package

  WMAP: Weighted Meta-Analysis with Pseudo-Populations

  Co-developer · available on CRAN
• Code

  RobustInference_RHGI

  Code for “Robust inference for risk heterogeneity under group imbalance”