Ivan L. Diaz

Ivan L. Diaz, PhD

Associate Professor, Department of Population Health

Summary

My research focuses on the development of non-parametric statistical methods for causal inference from observational and randomized studies with complex datasets, using machine learning. This includes but is not limited to mediation analysis, methods for continuous exposures, longitudinal data including survival analysis, and efficiency guarantees with covariate adjustment in randomized trials. I am also interested in general semi-parametric theory, machine learning, and high-dimensional data.

My substantive research has so far focused on clinical applications, specifically neurology, substance use disorder, pulmonary and critical care, and precision medicine for cancer.

More information here: https://idiaz.xyz/

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PhD from University of California, Berkeley

Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics

Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies

Diaz, Ivan; Williams, Nicholas; Hoffman, Katherine L.; Schenck, Edward J.

Journal of the American Statistical Association. 2021;

Nonparametric efficient causal mediation with intermediate confounders

Diaz, I; Hejazi, N. S.; Rudolph, K. E.; van der Laan, M. J.

Biometrika. 2021; 108(3):627-641

Benkeser, David; Díaz, Iván; Luedtke, Alex; Segal, Jodi; Scharfstein, Daniel; Rosenblum, Michael

Biometrics. 2021 12; 77(4):1467-1481

Causal mediation analysis for stochastic interventions

Diaz, Ivan; Hejazi, Nima S.

Journal of the Royal Statistical Society. Series B, Statistical methodology. 2020; 82(3):661-683

Efficient estimation of quantiles in missing data models

Diaz, Ivan

Journal of statistical planning & inference. 2017; 190:39-51

Díaz, Iván; Colantuoni, Elizabeth; Rosenblum, Michael

Biometrics. 2016 06; 72(2):422-31

Masterson Creber, Ruth; Daniels, Brock; Reading Turchioe, Meghan; Shafran Topaz, Leah; Zhao, Yihong; Choi, Jacky; Ellison, Melani; Merchant, Roland C; Blutinger, Erik; Goyal, Parag; Yu, Jiani; Weiner, Mark G; Sholle, Evan; Ramasubbu, Kumudha; Alishetti, Shudhanshu; Axsom, Kelly; Slotwiner, David; Rao, Maya; Diaz, Ivan; Spertus, John A; Sharma, Rahul; Kaushal, Rainu

JAMA internal medicine. 2025 Nov 01; 185(11):1341-1348