Publications

Statistics and Causal Inference Methodology

Hettinger, Gary C N; Renson, Audrey; Susmann, Herbert P; Díaz, Iván (2026). Beyond "No Unmeasured Confounding": Challenges and Opportunities for Cornfield-Style Reasoning in Modern Causal Inference. Observational Studies, 12(2), 261–278.
McClean, Alec; Levis, Alexander W.; Williams, Nicholas; Díaz, Iván (2026). Longitudinal weighted and trimmed treatment effects with flip interventions. Journal of the American Statistical Association, 1–71.
Susmann, Herbert P; Li, Yiting; McAdams-DeMarco, Mara A; Díaz, Iván; Wu, Wenbo (2026). Doubly robust nonparametric efficient estimation for healthcare provider evaluation. Journal of the Royal Statistical Society Series A: Statistics in Society, 189(3), 1816–1837.
Ross, Rachael K; Díaz, Iván; Pitts, Amy J; Stuart, Elizabeth A; Rudolph, Kara E (2026). Transporting results from a trial to an external target population when trial participation impacts adherence. Epidemiology, 37(1), 39–49.
Martin, A; Santacatterina, M; Díaz, I (2026). Nonparametric efficient estimation of marginal structural models with continuous time-varying treatments. Biometrika, 113(2), asag026.
Vo, Tat-Thang; Williams, Nicholas; Liu, Richard; Rudolph, Kara E; Díaz, Iván (2026). Recanting twins: Addressing intermediate confounding in mediation analysis. Statistics in Medicine, 45(3-5), e70432.
Susmann, Herbert P; Li, Yiting; McAdams-DeMarco, Mara A; Wu, Wenbo; Díaz, Iván (2026). Asymptotically efficient data-adaptive penalized shrinkage estimation with application to causal inference. The Annals of Applied Statistics, 20(1), 408–433.
Ross, Rachael K; Montoya, Lina M; Goin, Dana E; Díaz, Iván; Renson, Audrey (2026). Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition. American journal of epidemiology, 195(6), 1818–1821.
Susmann, Herbert P; Williams, Nicholas T; Liu, Richard; Young, Jessica G; Díaz, Iván (2026). Computationally and statistically efficient estimation of time-smoothed counterfactual curves. Lifetime Data Analysis, 32(3), 48.
Rudolph, Kara E; Inose, Shodai; Williams, Nicholas T; Díaz, Iván; Calderon, Lucia; Torres, Jacqueline M; Kioumourtzoglou, Marianthi-Anna (2026). Everything All at Once: On Choosing an Estimand for Multi-component Environmental Exposures. Epidemiology, 37(6), 807–818.
McClean, A; Li, Y; Bae, S; McAdams DeMarco, M; Díaz, Iván; Wu, W (2026). Comparing causal parameters with many treatments and positivity violations. Biometrika, 113(2), asag017.
Van Lancker, Kelly; Díaz, Iván; Vansteelandt, Stijn (2026). Automated, Efficient, and Model-Free Inference for Randomized Clinical Trials via Data-Driven Covariate Adjustment. The American Statistician, 1–13.
Gilbert, Brian; Díaz, Iván; Rudolph, Kara; Williams, Nicholas; Vo, Tat-Thang (2026). A novel decomposition to explain heterogeneity in observational and randomized studies of causality. Biostatistics, 27(1), kxag030.
Renson, Audrey; Montoya, Lina; Goin, Dana E; Díaz, Iván; Ross, Rachael K (2025). Pulling back the curtain: the road from statistical estimand to machine-learning-based estimator for epidemiologists (no wizard required). American journal of epidemiology, 194(12), 3566–3571.
Williams, Nicholas; Rudolph, Kara E; Díaz, Iván (2025). Comment on “Do we need flexible machine-learning algorithms to assess the effect of long-term exposure to fine particulate matter on mortality?”. Environmental Epidemiology, 9(4), e407.
Williams, Nicholas T; Liu, Richard; Hoffman, Katherine L; Forrest, Sarah; Rudolph, Kara E; Díaz, Iván (2025). Two-stage targeted minimum-loss based estimation for non-negative two-part outcomes. Statistical Methods in Medical Research, 34(7), 1431–1441.
Rudolph, K E; Williams, N T; Stuart, E A; Díaz, Iván (2025). Improving efficiency in transporting average treatment effects. Biometrika, 112(3), asaf027.
Santacatterina, Michele; Giron, Federico Macchiavelli; Zhang, Xinyi; Díaz, Iván (2025). Identification and Estimation of Causal Effects Using Non-Concurrent Controls in Platform Trials. Statistics in Medicine, 44(6), e70017.
Matthay, Ellicott C; Neill, Daniel B; Titus, Andrea R; Desai, Sunita; Troxel, Andrea B; Cerdá, Magdalena; Díaz, Iván; Santacatterina, Michele; Thorpe, Lorna E (2025). Integrating Artificial Intelligence into Causal Research in Epidemiology. Current Epidemiology Reports, 12(1), 6.
Gilbert, Peter B; Peng, James; Han, Larry; Lange, Theis; Lu, Yun; Nie, Lei; Shih, Mei-Chiung; Waddy, Salina P; Wiley, Ken; Yann, Margot; Zafari, Zafar; Ghosh, Debashis; Follmann, Dean; Juraska, Michal; Díaz, Iván (2025). A surrogate endpoint-based provisional approval causal roadmap, illustrated by vaccine development. Biostatistics, 26(1), kxaf018.
Gilbert, Brian; Hoffman, Katherine; Williams, Nicholas; Rudolph, Kara; Schenck, Edward J; Díaz, Iván (2025). Identification and estimation of mediational effects of longitudinal modified treatment policies. Biostatistics, 26(1), kxaf031.
Schomaker, Michael; McIlleron, Helen; Denti, Paolo; Díaz, Iván (2024). Causal Inference For Continuous Multiple Time Point Interventions. Statistics in Medicine, 43(28), 5380–5400.
Hoffman, Katherine L; Salazar-Barreto, Diego; Williams, Nicholas T; Rudolph, Kara E; Díaz, Iván (2024). Studying Continuous, Time-varying, and/or Complex Exposures Using Longitudinal Modified Treatment Policies. Epidemiology, 35(5), 667–675.
Rudolph, Kara E; Williams, Nicholas T; Díaz, Iván (2024). Practical causal mediation analysis: extending nonparametric estimators to accommodate multiple mediators and multiple intermediate confounders. Biostatistics, kxae012.
Williams, Nicholas T; Hoffman, Katherine L; Díaz, Iván; Rudolph, Kara E (2024). Learning Optimal Dynamic Treatment Regimes from Longitudinal Data. American Journal of Epidemiology, kwae122.
Rudolph, Kara E; Williams, Nicholas; Díaz, Iván (2024). Using instrumental variables to address unmeasured confounding in causal mediation analysis. Biometrics, 80(1), ujad037.
Jung, Yonghan; Díaz, Iván; Tian, Jin; Bareinboim, Elias (2024). Estimating Causal Effects Identifiable from a Combination of Observations and Experiments. Advances in Neural Information Processing Systems, 36.
Díaz, Iván; Hoffman, Katherine L; Hejazi, Nima S (2024). Causal survival analysis under competing risks using longitudinal modified treatment policies. Lifetime Data Analysis, 30(1), 213–236.
Díaz, Iván (2024). Non-agency interventions for causal mediation in the presence of intermediate confounding. Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(2), 435–460.
Liu, Yan; Schnitzer, Mireille E; Herrera, Ronald; Díaz, Iván; O’Loughlin, Jennifer; Sylvestre, Marie-Pierre (2024). The application of target trials with longitudinal targeted maximum likelihood estimation to assess the effect of alcohol consumption in adolescence on depressive symptoms in adulthood. American Journal of Epidemiology, 193(6), 835–845.
Rudolph, Kara E; Williams, Nicholas; Díaz, Iván (2023). Efficient and flexible estimation of natural direct and indirect effects under intermediate confounding and monotonicity constraints. Biometrics, 79(4), 3126–3139.
Rudolph, Kara E; Williams, Nicholas T; Miles, Caleb H; Antonelli, Joseph; Díaz, Iván (2023). All models are wrong, but which are useful? Comparing parametric and nonparametric estimation of causal effects in finite samples. Journal of Causal Inference, 11(1), 20230022.
Dang, Lauren E; Gruber, Susan; Lee, Hana; Dahabreh, Issa J; Stuart, Elizabeth A; Williamson, Brian D; Wyss, Richard; Díaz, Iván; Ghosh, Debashis; Kıcıman, Emre; Alemayehu, Demissie; Hoffman, Katherine L; Vossen, Carla Y; Huml, Raymond A; Ravn, Henrik; Kvist, Kajsa; Pratley, Richard; Shih, Mei-Chiung; Pennello, Gene; Martin, David; Waddy, Salina P; Barr, Charles E; Akacha, Mouna; Buse, John B; van der Laan, Mark; Petersen, Maya (2023). A causal roadmap for generating high-quality real-world evidence. Journal of Clinical and Translational Science, 7(1), e212.
Díaz, Iván; Lee, Hana; Kiciman, Emre; Schenck, Edward J; Akacha, Mouna; Follman, Dean; Ghosh, Debashis (2023). Sensitivity analysis for causality in observational studies for regulatory science. Journal of Clinical and Translational Science, 7(1), e267.
Díaz, Iván; Williams, Nicholas; Rudolph, Kara E (2023). Efficient and flexible mediation analysis with time-varying mediators, treatments, and confounders. Journal of Causal Inference, 11(1), 20220077.
Williams, Nicholas; Rosenblum, Michael; Díaz, Iván (2022). Optimising precision and power by machine learning in randomised trials with ordinal and time-to-event outcomes with an application to COVID-19. Journal of the Royal Statistical Society Series A: Statistics in Society, 185(4), 2156-2178.
Hejazi, Nima S; Rudolph, Kara E; van der Laan, Mark J; Díaz, Iván (2022). Nonparametric causal mediation analysis for stochastic interventional (in)direct effects. Biostatistics.
Hejazi, Nima S; Rudolph, Kara E; Díaz, Iván (2022). medoutcon: Nonparametric efficient causal mediation analysis with machine learning in R. Journal of Open Source Software, 7(69), 3979.
Elizabeth L. Ogburn; Oleg Sofrygin; Díaz, Iván; Mark J. van der Laan (2022). Causal Inference for Social Network Data. Journal of the American Statistical Association, 1-15.
Hoffman, Katherine L; Schenck, Edward J; Satlin, Michael J; Whalen, William; Pan, Di; Williams, Nicholas; Díaz, Iván (2022). Comparison of a target trial emulation framework vs Cox regression to estimate the association of corticosteroids with COVID-19 mortality. JAMA Network Open, 5(10), e2234425–e2234425.
Díaz, Iván; Williams, Nicholas; Hoffman, Katherine L; Schenck, Edward J (2021). Nonparametric causal effects based on longitudinal modified treatment policies. Journal of the American Statistical Association, 1–16.
Díaz, Iván; Hejazi, Nima S; Rudolph, Kara E; van Der Laan, Mark J (2021). Nonparametric efficient causal mediation with intermediate confounders. Biometrika, 108(3), 627–641.
Rudolph, Kara E; Díaz, Iván (2021). Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediators. Biostatistics.
Díaz, Iván; Hejazi, Nima S. (2020). Causal mediation analysis for stochastic interventions. Journal of the Royal Statistical Society Series B, 82(3), 661–683.
Benkeser, David; Díaz, Iván; Luedtke, Alex; Segal, Jodi; Scharfstein, Daniel; Rosenblum, Michael (2020). Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment, for Ordinal or Time to Event Outcomes. Biometrics.
Díaz, Iván; Oleksander Savenkov; Hooman Kamel (2020). Non-parametric targeted Bayesian estimation of class proportions in unlabeled data. Biostatistics.
Díaz, Iván (2020). Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning. Biostatistics, 21(2), 353–358.
Díaz, Iván (2019). Statistical inference for data-adaptive doubly robust estimators with survival outcomes. Statistics in Medicine, 38(15), 2735–2748.
Díaz, Iván; Savenkov, Oleksandr; Ballman, Karla (2018). Targeted learning ensembles for optimal individualized treatment rules with time-to-event outcomes. Biometrika, 105(3), 723–738.
Díaz, Iván; Colantuoni, Elizabeth; Hanley, Daniel F.; Rosenblum, Michael (2018). Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards. Lifetime Data Analysis.
Díaz, Iván; van der Laan, Mark J. (2018). Doubly robust inference for targeted minimum loss-based estimation in randomized trials with missing outcome data. Statistics in Medicine.
Scharfstein, Daniel; McDermott, Aidan; Díaz, Iván; Carone, Marco; Lunardon, Nicola; Turkoz, Ibrahim (2018). Global sensitivity analysis for repeated measures studies with informative drop-out: A semi-parametric approach. Biometrics, 74(1), 207–219.
Díaz, Iván; Luedtke, Alexander R; van der Laan, Mark J (2018). Sensitivity Analysis. Targeted Learning in Data Science, 511–522.
Díaz, Iván; van der Laan, Mark J (2018). Stochastic Treatment Regimes. Targeted Learning in Data Science, 219–232.
Carone, Marco; Díaz, Iván; van der Laan, Mark J (2018). Higher-Order Targeted Loss-Based Estimation. Targeted Learning in Data Science, 483–510.
Díaz, Iván (2017). Efficient Estimation of Quantiles for Causal Inference and Missing Data. Journal of Statistical Planning and Inference.
Díaz, Iván; Colantuoni, E; Rosenblum, M (2016). Enhanced precision in the analysis of randomized trials with ordinal outcomes. Biometrics, 72(2), 422.
Díaz, Iván; Carone, Marco; van der Laan, Mark J (2016). Second-Order Inference for the Mean of a Variable Missing at Random. The International Journal of Biostatistics, 12(1), 333–349.
Díaz, Iván (2016). Estimator and Model Selection Using Cross-Validation. Handbook on Big Data.
Frangakis, Constantine E; Qian, Tianchen; Wu, Zhenke; Díaz, Iván (2015). Deductive derivation and turing-computerization of semiparametric efficient estimation. Biometrics, 71(4), 867–874.
Díaz, Iván; Hubbard, Alan; Decker, Anna; Cohen, Mitchell (2015). Variable Importance and Prediction Methods for Longitudinal Problems with Missing Variables. PloS ONE, 10(3).
Díaz, Iván; Rosenblum, Michael (2015). Targeted Maximum Likelihood Estimation using Exponential Families. International Journal of Biostatistics, 11(2), 233-251.
Rudolph, Kara E.; Díaz, Iván; Rosenblum, Michael; Stuart, Elizabeth A. (2014). Estimating Population Treatment Effects From a Survey Subsample. American Journal of Epidemiology, 180(7), 737-748.
van der Laan, Mark J; Luedtke, Alexander R; Díaz, Iván (2014). Discussion of Identification, Estimation and Approximation of Risk under Interventions that Depend on the Natural Value of Treatment Using Observational Data, by Jessica Young, Miguel Hernán, and James Robins. Epidemiologic Methods, 3(1), 21–31.
Díaz, Iván; van der Laan, Mark J (2013). Targeted Data Adaptive Estimation of the Causal Dose--Response Curve. Journal of Causal Inference, 1(2), 171–192.
Díaz, Iván; van der Laan, Mark J (2013). Sensitivity analysis for causal inference under unmeasured confounding and measurement error problems. The International Journal of Biostatistics, 9(2), 149–160.
Díaz, Iván; van der Laan, Mark J (2013). Assessing the Causal Effect of Policies: An Example Using Stochastic Interventions. The International Journal of Biostatistics, 9(2), 161–174.
Hubbard, Alan; Díaz, Iván; Decker, Anna; Holcomb, John B; Schreiber, Martin A; Bulger, Eileen M; Brasel, Karen J; Fox, Erin E; del Junco, Deborah J; Wade, Charles E; Rahbar, Mohammad H; Cotton, Bryan A; Phelan, Herb A; Myers, John G; Alarcon, Louis H; Muskat, Peter; Cohen, Mitchell J; PROMMTT Study Group (2013). Time-dependent Prediction and Evaluation of Variable Importance Using Super-Learning in High-Dimensional Clinical Data. Journal of Trauma-Injury, Infection, and Critical Care, 75(1), S53–S60.
Díaz, Iván; van der Laan, Mark (2012). Population Intervention Causal Effects Based on Stochastic Interventions. Biometrics, 68(2), 541–549.
Díaz, Iván; van der Laan, Mark J (2011). Super Learner Based Conditional Density Estimation With Application to Marginal Structural Models. The International Journal of Biostatistics, 7(1), 1–20.
Díaz, Iván; Hubbard, Alan; van der Laan, Mark (2011). Targeted Bayesian Learning. Targeted Learning.
Cepeda-Cuervo, Edilberto; Aguilar, Wilson; Cervantes, Víctor; Corrales, Martha; Díaz, Iván; Rodríguez, Diana (2008). Intervalos de confianza e intervalos de credibilidad para una proporción. Revista Colombiana de Estadística, 31(2), 211–228.

Preprints

Zhang, Xinyi; Rudolph, Kara E.; Pike, James Russell; Liu, Richard; Santacatterina, Michele; Díaz, Iván (2026). More efficient transportation of causal effects using mediators. arXiv preprint arXiv:2610.31568.
Kim, Raphael C; Santacatterina, Michele; Zabih, Ramin; Mukherjee, Rajarshi; Díaz, Iván (2026). Statistical Inference for Continuous Action Bandits. arXiv preprint arXiv:2610.09801.
Díaz, Iván (2026). Longitudinal causal inference under informative missingness using the self-censoring model. arXiv preprint arXiv:2610.09234.
Martin, Axel; Díaz, Iván; Santacatterina, Michele (2026). Efficient transport and generalization of survival treatment effects. arXiv preprint arXiv:2609.18764.
Liu, Richard; Williams, Nicholas T.; Rudolph, Kara E.; Díaz, Iván (2026). crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding. arXiv preprint arXiv:2604.09902.
Rivera-Aguirre, Ariadne; Matthay, Ellicott C; Castillo-Carniglia, Álvaro; Martins, Silvia S; Díaz, Iván; Cerdá, Magdalena (2026). Beyond legalization: characterizing distinct recreational cannabis regulatory approaches across US states, 2013-2024. medRxiv preprint 2026.02.26.26346986.
Ge, Jiacheng; Díaz, Iván (2026). Orthogonal machine learning for conditional odds and risk ratios. arXiv preprint arXiv:2604.10412.
Kim, Raphael C; Gilbert, Brian; Zabih, Ramin; Santacatterina, Michele; Diaz, Ivan (2026). Data-Adaptive and Model-Robust Covariate Adjustment for Time-to-Event Outcomes in Stratified Randomized Trials. arXiv preprint arXiv:2604.28047.
Díaz, Iván; Williams, Nicholas T.; Morzywołek, Paweł; Rudolph, Kara E. (2026). Modified treatment policies that depend on the sequence of natural treatment values. arXiv preprint arXiv:2605.24167.
Williams, Nicholas; Rudolph, Kara; Díaz, Iván (2025). Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers. arXiv preprint arXiv:2506.10863.
Susmann, Herbert P; McClean, Alec; Díaz, Iván (2025). Non-overlap Average Treatment Effect Bounds. arXiv preprint arXiv:2509.20206.
McGrath, Sean; Kawahara, Takuya; Petimar, Joshua; Rifas-Shiman, Sheryl L; Díaz, Iván; Block, Jason P; Young, Jessica G (2025). Time-smoothed inverse probability weighted estimation of effects of generalized time-varying treatment strategies on repeated outcomes truncated by death. arXiv preprint arXiv:2509.13971.
McClean, Alec; Díaz, Iván (2025). Propensity score weighting across counterfactual worlds: longitudinal effects under positivity violations. arXiv preprint arXiv:2507.10774.
Illenberger, Nicholas; Díaz, Iván; Renson, Audrey (2024). Efficient estimation of longitudinal treatment effects using difference-in-differences and machine learning. arXiv preprint arXiv:2406.16234.
Liu, Richard; Williams, Nicholas T; Rudolph, Kara E; Díaz, Iván (2024). General targeted machine learning for modern causal mediation analysis. arXiv preprint arXiv:2408.14620.
Susmann, Herbert; Williams, Nicholas T.; Rudolph, Kara E.; Díaz, Iván (2024). Longitudinal Generalizations of the Average Treatment Effect on the Treated for Multi-valued and Continuous Treatments. arXiv preprint arXiv:2405.06135.
Hejazi, Nima S; Benkeser, David; Díaz, Iván; van der Laan, Mark J (2022). Efficient estimation of modified treatment policy effects based on the generalized propensity score. arXiv preprint arXiv:2205.05777.
Benkeser, David; Díaz, Iván; Ran, Jialu (2021). Inference for natural mediation effects under case-cohort sampling with applications in identifying COVID-19 vaccine correlates of protection. arXiv preprint arXiv:2103.02643.

Clinical and Population Health Research

Herrera, Teresa; Hyman, Sara; Newman, Roger; Dickerson, Aisha S; Quirós-Alcalá, Lesliam; Bennett, Deborah H; Oh, Jiwon; Huerta-Montañez, Gredia; Titus, Andrea R; Díaz, Iván; Watkins, Deborah J; Trasande, Leonardo; Baker, Brennan H; Ferrara, Assiamira; Cassidy-Bushrow, Andrea E; Hazlehurst, Marnie; Ghassabian, Akhgar; Environmental influences on Child Health Outcomes (ECHO) Cohort Consortium (2026). Prenatal exposure to a mixture of non-persistent endocrine-disrupting chemicals and attention and hyperactivity symptoms in children in the ECHO cohort. Environment International, 215, 110488.
Castro, Victor M; Gainer, Vivian; Wattanasin, Nich; Cagan, Andrew; Holzbach, Ana; Chan, James; Horwitz, Leora; Kenney, Rachel; Díaz, Iván; Mandel, Hannah; Wuller, Shannon; Hornig, Mady; O'Brien, Lisa; Wylam, Andrew; Doster, James; Moffitt, Richard A; Pfaff, Emily; Weiner, Mark G; Abedian, Sajjad; Koropsak, Michael; Parthasarathy, Sairam; Razzaghi, Hanieh; Manjourides, Justin; Karlson, Elizabeth W; Murphy, Shawn N; of the RECOVER Consortium (2026). Characterization and validation of EHR computable phenotypes for Long COVID using patient-reported symptoms: insights from the nationwide RECOVER program. Journal of the American Medical Informatics Association, 33(9), 1759–1769.
Rudolph, Kara E; Inose, Shodai; Williams, Nicholas T; Díaz, Iván; Nunes, Edward V; Shulman, Matisyahu; Bisaga, Adam (2026). Beneficial effects of the rapid vs. standard procedure for injection naltrexone initiation operate through increased adjunctive medication use. Drug and alcohol dependence, 113177.
Rudolph, Kara E; Inose, Shodai; Williams, Nicholas T; Díaz, Iván; Ross, Rachael K; Bisaga, Adam; Shulman, Matisyahu (2026). Thresholds for adjunctive medication usage and probability of initiating injectable naltrexone. Addiction (Abingdon, England), 121(1), 117–125.
Rudolph, Kara E; Inose, Shodai; Williams, Nicholas T; Hoffman, Katherine L; Forrest, Sarah E; Ross, Rachael K; Milazzo, Floriana; Díaz, Iván; Doan, Lisa; Samples, Hillary; Olfson, Mark; Crystal, Stephen; Cerdá, Magdalena; Gao, Y Nina (2026). Mediation of chronic pain and disability on opioid use disorder risk by pain management practices among adult Medicaid patients, 2016-2019. American journal of epidemiology, 195(5), 1447–1457.
Wu, Wenbo; Díaz, Iván; Horwitz, Leora I. (2026). Design-based provider profiling with artificial intelligence to enhance quality and equity in health care delivery. Health Services and Outcomes Research Methodology, 26(3), 299–313.
Rivera-Aguirre, Ariadne; Díaz, Iván; Routhier, Giselle; McKay, Cameron C; Matthay, Ellicott C; Friedman, Samuel R; Doran, Kely M; Cerdá, Magdalena (2025). The effect of lifting eviction moratoria on fatal drug overdoses in the context of the COVID-19 pandemic in the United States. American Journal of Epidemiology, 194(10), 2896–2904.
Preiss, Alexander; Bhatia, Abhishek; Aragon, Leyna V; Baratta, John M; Baskaran, Monika; Blancero, Frank; Brannock, Michael Daniel; Chew, Robert F; Díaz, Iván; Fitzgerald, Megan; Kelly, Elizabeth P; Zhou, Andrea G; Carton, Thomas W; Chute, Christopher G; Haendel, Melissa; Moffitt, Richard; Pfaff, Emily; N3C Consortium and the RECOVER Cohort (2025). Effect of Paxlovid treatment during acute COVID-19 on Long COVID onset: An EHR-based target trial emulation from the N3C and RECOVER consortia. PLoS medicine, 22(9), e1004711.
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; Díaz, Iván; Spertus, John A; Sharma, Rahul; Kaushal, Rainu (2025). Mobile Integrated Health vs a Transitions of Care Coordinator for Patients Discharged After Heart Failure: The Mighty-Heart Randomized Clinical Trial. JAMA Internal Medicine, 185(11), 1341–1348.
Inose, Shodai; Williams, Nicholas T; Hoffman, Katherine L; Perry, Allison; Díaz, Iván; Rudolph, Kara E (2025). Reducing Prescription Opioid Dose and Duration to Reduce Risk of Opioid Use Disorder Among Patients with Musculoskeletal Pain. Epidemiology, 36(6), 811–819.
Melmed, Kara R; Lele, Abhijit V; Ayodele, Maranatha; Goldstein, Joshua N; LacKamp, Aaron; Dombrowski, Keith E; Alkhachroum, Ayham; Mainali, Shraddha; de Havenon, Adam; Krishnamohan, Prashanth; Subramaniam, Thanujaa; Stretz, Christoph; Lee, Wen-Yu; Kuohn, Lindsey; Fong, Christine T; McDougall, Sean; Kim, Robert; Song, Shlee S; Campbell, Alexis; Singhal, Aneesh B; Houghton, Margaret; Babel, Shrinit; Koch, Sebastian; Charles, Jude Hassan; O'Phelan, Kristine H; Stevens, Stacie; Li, Vivian; Champagne, Alison; Madour, Joseph; Sheth, Kevin N; Venkatasubramanian, Chitra; Yaghi, Shadi; Mayer, Stephan A; Díaz, Iván; Frontera, Jennifer A (2025). Time to Acute Treatment in Intracerebral Hemorrhage Lags Significantly Behind Ischemic Stroke: A Multicenter, Observational Retrospective Study. Stroke, 56(11), 3268–3279.
Schomaker, Michael; Denti, Paolo; Bienczak, Andrzej; Burger, David; Díaz, Iván; Gibb, Diana M; Walker, Ann Sarah; McIlleron, Helen (2024). Determining Targets for Antiretroviral Drug Concentrations: A Causal Framework Illustrated With Pediatric Efavirenz Data From the CHAPAS-3 Trial. Pharmacoepidemiology and Drug Safety, 33(12), e70051.
Rudolph, Kara E; Williams, Nicholas T; Díaz, Iván; Forrest, Sarah; Hoffman, Katherine L; Samples, Hillary; Olfson, Mark; Doan, Lisa; Cerda, Magdalena; Ross, Rachael K (2024). Pain Management Treatments and Opioid Use Disorder Risk in Medicaid Patients. American Journal of Preventive Medicine.
Hoffman, Katherine L; Milazzo, Floriana; Williams, Nicholas T; Samples, Hillary; Olfson, Mark; Díaz, Iván; Doan, Lisa; Cerda, Magdalena; Crystal, Stephen; Rudolph, Kara E (2024). Independent and joint contributions of physical disability and chronic pain to incident opioid use disorder and opioid overdose among Medicaid patients. Psychological medicine, 54(7), 1419–1430.
Rudolph, Kara E; Williams, Nicholas T; Díaz, Iván; Luo, Sean X; Rotrosen, John; Nunes, Edward V (2023). Rudolph et al. Respond to “Mathematization of Epidemiology”. American Journal of Epidemiology, 192(5), 760–761.
Casalino, Lawrence P; Jung, Hye-Young; Bodenheimer, Thomas; Díaz, Iván; Chen, Melinda A; Willard-Grace, Rachel; Zhang, Manyao; Johnson, Phyllis; Qian, Yuting; O'Donnell, Eloise M; Unruh, Mark A (2023). The Association of teamlets and teams with physician burnout and patient outcomes. Journal of General Internal Medicine, 38(6), 1384–1392.
Kamel, Hooman; Liberman, Ava L; Merkler, Alexander E; Parikh, Neal S; Mir, Saad A; Segal, Alan Z; Zhang, Cenai; Díaz, Iván; Navi, Babak B (2023). Validation of the International Classification of Diseases, Tenth Revision Code for the National Institutes of Health Stroke Scale Score. Circulation: Cardiovascular Quality and Outcomes, 16(3), e009215.
Ackerman, Kevin S; Hoffman, Katherine L; Díaz, Iván; Simmons, Will; Ballman, Karla V; Kodiyanplakkal, Rosy P; Schenck, Edward J (2023). Effect of Sepsis on Death as Modified by Solid Organ Transplantation. Open Forum Infectious Diseases, 10(4), ofad148.
Rudolph, Kara E; Williams, Nicholas T; Díaz, Iván; Luo, Sean X; Rotrosen, John; Nunes, Edward V (2023). Optimally choosing medication type for patients with opioid use disorder. American Journal of Epidemiology, 192(5), 748–756.
Goyal, Parag; Schenck, Edward; Wu, Yiyuan; Zhang, Yongkang; Visaria, Aayush; Orlander, Duncan; Xi, Wenna; Díaz, Iván; Morozyuk, Dmitry; Weiner, Mark; Kaushal, Rainu; Banerjee, Samprit (2023). Influence of social deprivation index on in-hospital outcomes of COVID-19. Scientific Reports, 13(1), 1746.
Rudolph, Kara E; Williams, Nicholas T; Goodwin, Alicia T Singham; Shulman, Matisyahu; Fishman, Marc; Iván Díaz; Luo, Sean; Rotrosen, John; Nunes, Edward V (2022). Buprenorphine & methadone dosing strategies to reduce risk of relapse in the treatment of opioid use disorder. Drug and Alcohol Dependence, 239, 109609.
Jett, Steven; Dyke, Jonathan P; Andy, Caroline; Schelbaum, Eva; Jang, Grace; Boneu Yepez, Camila; Pahlajani, Silky; Díaz, Iván; Diaz Brinton, Roberta; Mosconi, Lisa (2022). Sex and menopause impact 31P-Magnetic Resonance Spectroscopy brain mitochondrial function in association with 11C-PiB PET amyloid-beta load. Scientific Reports, 12(1), 1–13.
Bruce, Samuel S; Navi, Babak B; Zhang, Cenai; Kim, Jiwon; Devereux, Richard B; Schenck, Edward J; Sedrakyan, Art; Díaz, Iván; Kamel, Hooman (2022). Transesophageal echocardiography and risk of respiratory failure in patients who had ischemic stroke or transient ischemic attack: an IDEAL phase 4 study. BMJ Surgery, Interventions, & Health Technologies, 4(1).
Masterson Creber, Ruth M; Daniels, Brock; Munjal, Kevin; Reading Turchioe, Meghan; Shafran Topaz, Leah; Goytia, Crispin; Díaz, Iván; Goyal, Parag; Weiner, Mark; Yu, Jiani; Khullar, Dhruv; Slotwiner, David; Ramasubbu, Kumudha; Kaushal, Rainu (2022). Using Mobile Integrated Health and telehealth to support transitions of care among patients with heart failure (MIGHTy-Heart): protocol for a pragmatic randomised controlled trial. BMJ open, 12(3), e054956.
Zinger, Nicole; Ponath, Gerald; Sweeney, Elizabeth; Nguyen, Thanh D; Lo, Chih Hung; Díaz, Iván; Dimov, Alexey; Teng, Leilei; Zexter, Lily; Comunale, Joseph; Wang, Yi; Pitt, David; Gauthier, Susan A (2022). Dimethyl Fumarate Reduces Inflammation in Chronic Active Multiple Sclerosis Lesions. Neurology-Neuroimmunology Neuroinflammation, 9(2).
Rudolph, Kara E; Shulman, Matisyahu; Fishman, Marc; Díaz, Iván; Rotrosen, John; Nunes, Edward V (2022). Association between dynamic dose increases of buprenorphine for treatment of opioid use disorder and risk of relapse. Addiction, 117(3), 637–645.
Merkler, Alexander E; Zhang, Cenai; Díaz, Iván; Stewart, Carolyn; LeMoss, Natalie M; Mir, Saad; Parikh, Neal; Murthy, Santosh; Lin, Ning; Gupta, Ajay; Iadecola, Costantino; Elkind, Mitchell S V; Kamel, Hooman; Navi, Babak B (2022). Risk Stratification Models for Stroke in Patients Hospitalized with COVID-19 Infection: COVID-19 Stroke Risk Score. Journal of Stroke and Cerebrovascular Diseases, 106589.
Rudolph, Kara E.; Gimbrone, Catherine; Matthay, Ellicott C.; Díaz, Iván; Davis, Corey S.; Keyes, Katherine; Cerdá, Magdalena (2022). When effects cannot be estimated: Redefining estimands to understand the effects of naloxone access laws. Epidemiology, 33(5), 689–698.
Zhang, William Z; Hoffman, Katherine L; Schiffer, Kristen T; Oromendia, Clara; Rice, Michelle C; Barjaktarevic, Igor; Peters, Stephen P; Putcha, Nirupama; Bowler, Russell P; Wells, J Michael; David J. Couper; Wassim W. Labaki; Jeffrey L. Curtis; Meilan K. Han; Robert Paine III; Prescott G. Woodruff; Gerard J. Criner; Nadia N. Hansel; Díaz, Iván; Karla V. Ballman; Kiichi Nakahira; Mary E. Choi; Fernando J. Martinez; Augustine M. K. Choi; Suzanne M. Cloonan (2021). Association of plasma mitochondrial DNA with COPD severity and progression in the SPIROMICS cohort. Respiratory Research, 22(1), 1–11.
Rudolph, Kara E; Díaz, Iván; Hejazi, Nima S; van der Laan, Mark J; Luo, Sean X; Shulman, Matisyahu; Campbell, Aimee; Rotrosen, John; Nunes, Edward V (2021). Explaining differential effects of medication for opioid use disorder using a novel approach incorporating mediating variables. Addiction, 116(8), 2094–2103.
Torres, Lisa K; Hoffman, Katherine L; Oromendia, Clara; Díaz, Iván; Harrington, John S; Schenck, Edward J; Price, David R; Gomez-Escobar, Luis; Higuera, Angelica; Vera, Mayra Pinilla; Baron, Rebecca M; Fredenburgh, Laura E; Huh, Jin-Won; Choi, Augustine M K; Siempos, Ilias I (2021). Attributable mortality of acute respiratory distress syndrome: a systematic review, meta-analysis and survival analysis using targeted minimum loss-based estimation. Thorax.
Kamel, Hooman; Parikh, Neal S; Chatterjee, Abhinaba; Kim, Luke K; Saver, Jeffrey L; Schwamm, Lee H; Zachrison, Kori S; Nogueira, Raul G; Adeoye, Opeolu; Díaz, Iván; Ryan, Andrew M; Pandya, Ankur; Navi, Babak B (2021). Access to Mechanical Thrombectomy for Ischemic Stroke in the United States. Stroke, STROKEAHA–120.
Murthy, Santosh B; Zhang, Cenai; Díaz, Iván; Levitan, Emily B; Koton, Silvia; Bartz, Traci M; DeRosa, Janet T; Strobino, Kevin; Colantonio, Lisandro D; Iadecola, Costantino; Safford, Monika M; Howard, Virginia J; Longstreth, Jr, W T; Gottesman, Rebecca F; Sacco, Ralph L; Elkind, Mitchell S V; Howard, George; Kamel, Hooman (2021). Association Between Intracerebral Hemorrhage and Subsequent Arterial Ischemic Events in Participants From 4 Population-Based Cohort Studies. JAMA neurology.
Alexander E. Merkler; Neal S. Parikh; Saad Mir; Ajay Gupta; Hooman Kamel; Eaton Lin; Joshua Lantos; Edward J. Schenck; Parag Goyal; Samuel S. Bruce; Joshua Kahan; Kelsey N. Lansdale; Natalie M. LeMoss; Santosh B. Murthy; Philip E. Stieg; Matthew E. Fink; Costantino Iadecola; Alan Z. Segal; Thomas R. Campion Jr; Díaz, Iván; Cenai Zhang; Babak B. Navi (2020). Risk of ischemic stroke in patients with coronavirus disease 2019 (COVID-19) vs patients with influenza. JAMA neurology, 77(11), 1366–1372.
Parikh, Neal S; Chatterjee, Abhinaba; Díaz, Iván; Merkler, Alexander E; Murthy, Santosh B; Iadecola, Costantino; Navi, Babak B; Kamel, Hooman (2020). Trends in Active Cigarette Smoking Among Stroke Survivors in the United States, 1999 to 2018. Stroke, STROKEAHA–120.
Murthy, Santosh B; Wu, Xian; Díaz, Iván; Parasram, Melvin; Parikh, Neal S; Iadecola, Costantino; Merkler, Alexander E; Falcone, Guido J; Brown, Stacy; Biffi, Alessandro; Ch'ang, Judy; Knopman, Jared; Stieg, Philip E; Navi, Babak B; Sheth, Kevin N; Kamel, Hooman (2020). Non-Traumatic Subdural Hemorrhage and Risk of Arterial Ischemic Events. Stroke, 51(5), 1464–1469.
Lin, Jessica; Piran, Pirouz; Lerario, Mackenzie P; Ong, Hanley; Gupta, Ajay; Murthy, Santosh B; Díaz, Iván; Stieg, Philip E; Knopman, Jared; Falcone, Guido J; Sheth, Kevin N; Fink, Matthew E; Merkler, Alexander E; Kamel, Hooman (2020). Differences in Admission Blood Pressure Among Causes of Intracerebral Hemorrhage. Stroke, 51(2), 644–647.
Murthy, Santosh B; Díaz, Iván; Wu, Xian; Merkler, Alexander E; Iadecola, Costantino; Safford, Monika M; Sheth, Kevin N; Navi, Babak B; Kamel, Hooman (2020). Risk of Arterial Ischemic Events After Intracerebral Hemorrhage. Stroke, 51(1), 137–142.
Goyal, Parag; Kneifati-Hayek, Jerard; Archambault, Alexi; Mehta, Krisha; Levitan, Emily B; Chen, Ligong; Díaz, Iván; Hollenberg, James; Hanlon, Joseph T; Lachs, Mark S; Maurer, Mathew S; Safford, Monika M (2020). Prescribing patterns of heart failure-exacerbating medications following a heart failure hospitalization. JACC: Heart Failure, 8(1), 25–34.
Telesford, Kiel M; Kaunzner, Ulrike W; Perumal, Jai; Gauthier, Susan A; Wu, Xian; Díaz, Iván; Kruse-Hoyer, Mason; Engel, Casey; Marcille, Melanie; Vartanian, Timothy (2020). Black African and Latino/a identity correlates with increased plasmablasts in MS. Neurology-Neuroimmunology Neuroinflammation, 7(1).
Kamel, Hooman; Navi, Babak B; Merkler, Alexander E; Baradaran, Hediyeh; Díaz, Iván; Parikh, Neal S; Kasner, Scott E; Gladstone, David J; Iadecola, Costantino; Gupta, Ajay (2020). Reclassification of Ischemic Stroke Etiological Subtypes on the Basis of High-Risk Nonstenosing Carotid Plaque. Stroke, STROKEAHA–119.
Rahman, Aneela; Schelbaum, Eva; Hoffman, Katherine; Díaz, Iván; Hristov, Hollie; Andrews, Randolph; Jett, Steven; Jackson, Hande; Lee, Andrea; Sarva, Harini; Pahlajani, Silky; Matthews, Dawn; Dyke, Jonathan; de Leon, Mony J; Isaacson, Richard S; Brinton, Roberta D; Mosconi, Lisa (2020). Sex-driven modifiers of Alzheimer risk: A multimodality brain imaging study. Neurology, 95(2), e166–e178.
Benjamin R. Kummer; Mackenzie P. Lerario; Madeleine D. Hunter; Xian Wu; Elizabeth S. Efraim; Setareh Salehi Omran; Monica L. Chen; Díaz, Iván; Daniel Sacchetti; Tim Lekic; Erin R. Kulick; Sammy Pishanidar; Saad A. Mir; Yi Zhang; Glenn Asaeda, Babak B. Navi; Randolph S. Marshall; Matthew E. Fink (2019). Geographic Analysis of Mobile Stroke Unit Treatment in a Dense Urban Area: The New York City METRONOME Registry. Journal of the American Heart Association, 8(24), e013529.
Kummer, Benjamin R; Díaz, Iván; Wu, Xian; Aaroe, Ashley E; Chen, Monica L; Iadecola, Costantino; Kamel, Hooman; Navi, Babak B (2019). Associations between cerebrovascular risk factors and parkinson disease. Annals of Neurology, 86(4), 572–581.
Kamel, Hooman; Okin, Peter M; Merkler, Alexander E; Navi, Babak B; Campion, Thomas R; Devereux, Richard B; Díaz, Iván; Weinsaft, Jonathan W; Kim, Jiwon (2019). Relationship between left atrial volume and ischemic stroke subtype. Annals of Clinical and Translational Neurology, 6(8), 1480–1486.
Yum, Brian; Archambault, Alexi; Levitan, Emily B; Dharamdasani, Tina; Kneifati-Hayek, Jerard; Hanlon, Joseph T; Díaz, Iván; Maurer, Mathew S; Lachs, Mark S; Safford, Monika M; Goyal, Parag (2019). Indications for β-Blocker Prescriptions in Heart Failure with Preserved Ejection Fraction. Journal of the American Geriatrics Society, 67(7), 1461–1466.
Hung, Peter; Finn, Caitlin; Chen, Monica; Knight-Greenfield, Ashley; Baradaran, Hediyeh; Patel, Praneil; Díaz, Iván; Kamel, Hooman; Gupta, Ajay (2019). Effect of Clinical History on Interpretation of Computed Tomography for Acute Stroke. The Neurohospitalist, 9(3), 140–143.
Reynolds, Alexandra S; Chen, Monica L; Merkler, Alexander E; Chatterjee, Abhinaba; Díaz, Iván; Navi, Babak B; Kamel, Hooman (2019). Effect of a randomized trial of unruptured brain arteriovenous malformation on interventional treatment rates for unruptured arteriovenous malformations. Cerebrovascular Diseases, 47(5-6), 299–302.
Mosconi, Lisa; Rahman, Aneela; Díaz, Iván; Wu, Xian; Scheyer, Olivia; Hristov, Hollie Webb; Vallabhajosula, Shankar; Isaacson, Richard S; de Leon, Mony J; Brinton, Roberta Diaz (2018). Increased Alzheimer's risk during the menopause transition: A 3-year longitudinal brain imaging study. PloS one, 13(12).
Merkler, Alexander E; Díaz, Iván; Wu, Xian; Murthy, Santosh B; Gialdini, Gino; Navi, Babak B; Yaghi, Shadi; Weinsaft, Jonathan W; Okin, Peter M; Safford, Monika M; Iadecola, Costantino; Kamel, Hooman (2018). Duration of heightened ischemic stroke risk after acute myocardial infarction. Journal of the American Heart Association, 7(22), e010782.
Salehi Omran, Setareh; Boddu, Srikanth Reddy; Gusdon, Aaron M; Kummer, Benjamin; Baradaran, Hediyeh; Patel, Praneil; Díaz, Iván; Navi, Babak B; Gupta, Ajay; Kamel, Hooman; Patsalides, Athos (2018). Angiographic blush after mechanical thrombectomy is associated with hemorrhagic transformation of ischemic stroke. Journal of Stroke and Cerebrovascular Diseases, 27(11), 3124–3130.
Parikh, Neal S; Chatterjee, Abhinaba; Díaz, Iván; Pandya, Ankur; Merkler, Alexander E; Gialdini, Gino; Kummer, Benjamin R; Mir, Saad A; Lerario, Michael P; Fink, Matthew E; Navi, Babak B; Kamel, Hooman (2018). Modeling the Impact of Interhospital Transfer Network Design on Stroke Outcomes in a Large City. Stroke, 49(2), 370–376.
Groh, Mark A; Díaz, Iván; Johnson, Alan M; Ely, Stephen W; Binns, Oliver A; Champsaur, Gerard L (2017). Is Surgical Intervention the Optimal Therapy for the Treatment of Aortic Valve Stenosis for Patients With Intermediate Society of Thoracic Surgeons Risk Score?. The Annals of Thoracic Surgery, 103(4), 1193–1198.
Kreif, Noémi; Grieve, Richard; Díaz, Iván; Harrison, David (2015). Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury. Health economics, 24(9), 1213–1228.