“The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data.”

Published in Journal of the American Statistical Association, August 2025.
Chen C, Chen S, Ye Z, Shi X, Ma T, Shardell M
Doi: 10.1080/01621459.2025.2542553

“Polluted Air from Canadian Wildfires and Cardiopulmonary Disease in the Eastern US.”  

Published in Jama Network Open, Dec 2024.
Maldarelli ME, Song H, Brown CH, Situt M, Reilly C, Mahurkar AA, Felix V, Crabtree J, Ellicott E, Jurczak MO, Pant B, Gumel A, Zafari Z, D’Souza W, Sapkota A, Maron BA.
Doi: 10.1001/jamanetworkopen.2024.50759

“Liberal or Restrictive Postoperative Transfusion in Patients at High Cardiac Risk: The TOP Randomized Clinical Trial.”

Published in Jama, Dec 2025.
Kougias P, Sharath SE, Zhan M, Carson JL, Norman LE, Mi Z, Pal R, Dosluoglu H, Modrall JG, Sarosi GA Jr, Nelson P, Arya S, Scrymgeour A, Ollison J, Calais LA, Nambi V, Gregg LP, Abdullah SM, Tsai S, Becker N, Choi JC, Chiu L, Scali S, Barshes NR, Awad S, Moursi M, Koopmann MC, Sally M, Ihnat D, Ramaswamy A, Gasper W, Tzeng E, Wilson MA, Tang G, Huang G, Biswas K; TOP Trial Investigators 
Doi: 10.1001/jama.2025.20841 

“A combination typhoid and non-typhoidal Salmonella polysaccharide conjugate vaccine in healthy adults: a randomized, placebo-controlled phase 1 trial.”

Published in Nature Medicine, Dec 2025.  
Chen WH, Barnes RS, Sikorsky MJ, Datar R, Sukhavasi R, Liang Y, Rapaka R, Pasetti MR, Sztein MB, Wahid R, Tennant SM, Simon R, Lees A, Bernshtein B, Alter G, Ella R, Mohan K, Naidu G, Rao DY, Ella K, Levine MM. 
Doi: 10.1038/s41591-025-04003-z

Joint Mixed Models for Causal Inference  
The analysis method addresses unmeasured common causes (confounders) of a time-varying binary exposure and longitudinal continuous outcome. Data are simulated in R and analyzed in SAS. Causal effects are estimated using g-computation of the final model estimates.

Access code on GitHub.
Access the paper here: https://pmc.ncbi.nlm.nih.gov/articles/PMC5799019/ 

Average Constrained Regression for Algorithmic Fairness 
This R code applies average constrained regression and compares its performance to ordinary least squares when predicting post-discharge days at home after hospitalization for hip fracture among Medicare fee-for-service beneficiaries. 
 
Access code on GitHub.  

eMultiMR is a multiple-model-based framework for estimation of causal effect under the setting with a binary outcome, where multiple propensity score models and conditional mean imputation models are used to ensure estimation robustness. 

Access the R code on GitHub.
Access the paper here: https://doi.org/10.1080/00031305.2023.2250399