Publications

Methodological and applied work on treatment effect heterogeneity in randomized trials.

Peer-reviewed

Semiparametric principal stratification analysis beyond monotonicity
Tong J, Kahan BC, Harhay MO, Li F
Statistica Sinica, forthcoming
PDFJournalCode
Uncovering treatment effect heterogeneity in pragmatic gerontology trials
Li C, Allore H, Harhay MO, Li F, Tong G
Experimental Gerontology, 2026;215:113055
PDFJournalPubMed

Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials

Tong J, Cheng C, Tong G, Harhay MO, Li F
Statistics in Medicine, 2025;44(28-30)
PDFJournalPubMed

Treatment effect heterogeneity in acute kidney injury incidence following intravenous antihypertensive administration for severe blood pressure elevation during hospitalization

Ghazi L, Chen X, Harhay MO, Hu L, Biswas A, Peixoto AJ, Li F, Wilson FP
American Journal of Kidney Diseases, 2025;85(4):442–453
JournalPubMed

A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: applications to a critical care trial

Chen X, Harhay MO, Tong G, Li F
Annals of Applied Statistics, 2024;18(1):350–374
PDFJournalPubMed

Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia

Blette BS, Granholm A, Li F, Shankar-Hari M, Lange T, Munch MW, Møller MH, Perner A, Harhay MO
Scientific Reports, 2023;13(1):6570
PDFJournalCodePubMed
No matching items

Preprints

Beyond principal ignorability: nonparametric sensitivity bounds for principal stratification

Chen X, Harhay MO, Li F
arXiv:2606.01669, June 2026
PDFPreprint server
No matching items