Hoffman, Katherine L and Salazar-Barreto, Diego and Williams, Nicholas T and Rudolph, Kara E and Díaz, Iván (2024). Studying Continuous, Time-varying, and/or Complex Exposures Using Longitudinal Modified Treatment Policies. Epidemiology, 35(5), 667--675.
Rudolph, Kara E and Williams, Nicholas T and Díaz, Iván (2024). Practical causal mediation analysis: extending nonparametric estimators to accommodate multiple mediators and multiple intermediate confounders. Biostatistics, kxae012.
Williams, Nicholas T and Hoffman, Katherine L and Díaz, Iván and Rudolph, Kara E (2024). Learning Optimal Dynamic Treatment Regimes from Longitudinal Data. American Journal of Epidemiology, kwae122.
Rudolph, Kara E and Williams, Nicholas and Díaz, Iván (2024). Using instrumental variables to address unmeasured confounding in causal mediation analysis. Biometrics, 80(1), ujad037.
Jung, Yonghan and Díaz, Iván and Tian, Jin and Bareinboim, Elias (2024). Estimating Causal Effects Identifiable from a Combination of Observations and Experiments. Advances in Neural Information Processing Systems, 36
Díaz, Iván and Hoffman, Katherine L and 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 and Schnitzer, Mireille E and Herrera, Ronald and Díaz, Iván and O’Loughlin, Jennifer and 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 and Williams, Nicholas and 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 and Williams, Nicholas T and Miles, Caleb H and Antonelli, Joseph and 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. and Gruber, Susan and Lee, Hana and Dahabreh, Issa J. and Stuart, Elizabeth A. and Williamson, Brian D. and Wyss, Richard and Díaz, Iván and Ghosh, Debashis and Kıcıman, Emre and et al. (2023). A causal roadmap for generating high-quality real-world evidence. Journal of Clinical and Translational Science, 7(1), e212.
Díaz, Iván and Lee, Hana and Kiciman, Emre and Schenck, Edward J and Akacha, Mouna and Follman, Dean and Ghosh, Debashis (2023). Sensitivity analysis for causality in observational studies for regulatory science. Journal of Clinical and Translational Science, 7(1), e267.
Díaz, Iván and Williams, Nicholas and 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 and Rosenblum, Michael and 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 and Rudolph, Kara E and van der Laan, Mark J and Díaz, Iván (2022). {Nonparametric causal mediation analysis for stochastic interventional (in)direct effects}. Biostatistics
Hejazi, Nima S and Rudolph, Kara E and Díaz, Iván (2022). medoutcon: Nonparametric efficient causal mediation analysis with machine learning inR. Journal of Open Source Software, 7(69), 3979.
Elizabeth L. Ogburn and Oleg Sofrygin and Díaz, Iván and Mark J. van der Laan (2022). Causal Inference for Social Network Data. Journal of the American Statistical Association, 0(0), 1-15.
Hoffman, Katherine L and Schenck, Edward J and Satlin, Michael J and Whalen, William and Pan, Di and Williams, Nicholas and 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 and Williams, Nicholas and Hoffman, Katherine L and Schenck, Edward J (2021). Nonparametric causal effects based on longitudinal modified treatment policies. Journal of the American Statistical Association, 1--16.
Díaz, Iván and Hejazi, Nima S and Rudolph, Kara E and van Der Laan, Mark J (2021). Nonparametric efficient causal mediation with intermediate confounders. Biometrika, 108(3), 627--641.
Rudolph, Kara E and Díaz, Iván (2021). Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediators. Biostatistics
Díaz, Iván and Hejazi, Nima S. (2020). Causal mediation analysis for stochastic interventions. Journal of the Royal Statistical Society Series B, 82(3), 661--683.
Benkeser, David and Díaz, Iván and Luedtke,
Alex and Segal, Jodi and Scharfstein, Daniel and
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 and Oleksander Savenkov and 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 and Savenkov, Oleksandr and Ballman, Karla (2018). Targeted learning ensembles for optimal individualized treatment rules with time-to-event outcomes. Biometrika, 105(3), 723--738.
Díaz, Iván and Colantuoni, Elizabeth and Hanley,
Daniel F. and Rosenblum, Michael (2018). Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards. Lifetime Data Analysis
Díaz, Iván and 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 and McDermott, Aidan and Díaz, Iván and Carone, Marco and Lunardon, Nicola and 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 (2017). Efficient Estimation of Quantiles for Causal Inference and Missing Data. Journal of Statistical Planning and Inference
Díaz, Iván and Colantuoni, E and Rosenblum, M (2016). Enhanced precision in the analysis of randomized trials with ordinal outcomes.. Biometrics, 72(2), 422.
Díaz, Iván and Carone, Marco and 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.
Frangakis, Constantine E and Qian, Tianchen and Wu, Zhenke and Díaz, Iván (2015). Deductive derivation and turing-computerization of semiparametric efficient estimation. Biometrics, 71(4), 867--874.
Díaz, Iván and Hubbard, Alan and Decker, Anna and Cohen, Mitchell (2015). Variable Importance and Prediction Methods for Longitudinal Problems with Missing Variables. PloS ONE, 10(3)
Díaz, Iván and Rosenblum, Michael (2015). Targeted Maximum Likelihood Estimation using Exponential Families. International Journal of Biostatistics, 11(2), 233-251.
Rudolph, Kara E. and Díaz, Iván and Rosenblum, Michael and Stuart, Elizabeth A. (2014). Estimating Population Treatment Effects From a Survey Subsample. American Journal of Epidemiology, 180(7), 737-748.
Díaz, Iván and 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 and 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 and 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 and Díaz, Iván and Decker, Anna and Holcomb, John B and Schreiber, Martin A and Bulger, Eileen M and Brasel, Karen J and Fox, Erin E and del Junco, Deborah J and Wade, Charles E and others (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 and van der Laan, Mark (2012). Population Intervention Causal Effects Based on Stochastic Interventions. Biometrics, 68(2), 541--549.
Díaz, Iván and 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.
Cepeda-Cuervo, Edilberto and Aguilar, Wilson and Cervantes, Víctor and Corrales, Martha and Díaz, Iván and Rodríguez, Diana (2008). Intervalos de confianza e intervalos de credibilidad para una proporci{\'o}n. Revista Colombiana de Estadística, 31(2), 211--228.
Publications Related to Clinical Applications
Schomaker, Michael and Denti, Paolo and Bienczak, Andrzej and Burger, David and D{\'\i}az, Iván and Gibb, Diana M and Walker, Ann Sarah and 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 and Williams, Nicholas T and Díaz,
Iván and Forrest, Sarah and Hoffman, Katherine L and Samples, Hillary and Olfson, Mark and Doan, Lisa and Cerda, Magdalena and Ross, Rachael K (2024). Pain Management Treatments and Opioid Use Disorder Risk in Medicaid Patients. American Journal of Preventive Medicine
Hoffman, Katherine L and Milazzo, Floriana and Williams, Nicholas T and Samples, Hillary and Olfson, Mark and Díaz, Iván and Doan, Lisa and Cerda, Magdalena and Crystal, Stephen and 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 and Williams, Nicholas T and Díaz,
Iván and Luo, Sean X and Rotrosen, John and
Nunes, Edward V (2023). Rudolph et al. Respond to “Mathematization of Epidemiology”. American Journal of Epidemiology, 192(5), 760--761.
Casalino, Lawrence P and Jung, Hye-Young and Bodenheimer, Thomas and Diaz, Ivan and Chen, Melinda A and Willard-Grace, Rachel and Zhang, Manyao and Johnson, Phyllis and Qian, Yuting and O’Donnell, Eloise M and others (2023). The Association of teamlets and teams with physician burnout and patient outcomes. Journal of General Internal Medicine, 38(6), 1384--1392.
Kamel, Hooman and Liberman, Ava L and Merkler, Alexander E and Parikh, Neal S and Mir, Saad A and Segal, Alan Z and Zhang, Cenai and Díaz, Iván and 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 and Hoffman, Katherine L and Díaz, Iván and Simmons, Will and Ballman, Karla V and Kodiyanplakkal, Rosy P and Schenck, Edward J (2023). Effect of Sepsis on Death as Modified by Solid Organ Transplantation., 10(4), ofad148.
Rudolph, Kara E and Williams, Nicholas T and Díaz, Iván and Luo, Sean X and Rotrosen, John and Nunes, Edward V (2023). Optimally choosing medication type for patients with opioid use disorder. American Journal of Epidemiology, 192(5), 748--756.
Goyal, Parag and Schenck, Edward and Wu, Yiyuan and Zhang, Yongkang and Visaria, Aayush and Orlander, Duncan and Xi, Wenna and Iván Díaz and Morozyuk, Dmitry and Weiner, Mark and others (2023). Influence of social deprivation index on in-hospital outcomes of COVID-19. Scientific Reports, 13(1), 1746.
Bernstein, Richard A and Kamel, Hooman and Granger, Christopher B and Piccini, Jonathan P and Katz, Jeffrey M and Sethi, Pramod P and Pouliot, Erika and Franco, Noreli and Ziegler, Paul D and Schwamm, Lee H and others (2023). Atrial fibrillation in patients with stroke attributed to large-or small-vessel disease: 3-year results from the STROKE AF randomized clinical trial. JAMA neurology, 80(12), 1277--1283.
Schwamm, Lee H and Kamel, Hooman and Granger, Christopher B and Piccini, Jonathan P and Katz, Jeffrey M and Sethi, Pramod P and Sidorov, Evgeny V and Kasner, Scott E and Silverman, Scott B and Merriam, Theodore T and others (2023). Predictors of Atrial Fibrillation in Patients With Stroke Attributed to Large-or Small-Vessel Disease: A Prespecified Secondary Analysis of the STROKE AF Randomized Clinical Trial. JAMA neurology, 80(1), 99--103.
Huang, Ying and Hejazi, Nima S and Blette, Bryan and Carpp, Lindsay N and Benkeser, David and Montefiori, David C and McDermott, Adrian B and Fong, Youyi and Janes, Holly E and Deng, Weiping and others (2023). Stochastic interventional vaccine efficacy and principal surrogate analyses of antibody markers as correlates of protection against symptomatic COVID-19 in the COVE mRNA-1273 Trial. Viruses, 15(10), 2029.
Rudolph, Kara E and Williams, Nicholas T and Goodwin, Alicia T Singham and Shulman, Matisyahu and Fishman, Marc and Iván Díaz and Luo, Sean and Rotrosen, John and 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.
Casalino, Lawrence P and Jung, Hye-Young and Bodenheimer,
Thomas and Iván Díaz and Chen,
Melinda A and Willard-Grace, Rachel and Zhang,
Manyao and Johnson, Phyllis and Qian, Yuting and
O’Donnell, Eloise M and others (2022). The Association of Teamlets and Teams with Physician Burnout and Patient Outcomes. Journal of General Internal Medicine, 1--9.
Jett, Steven and Dyke, Jonathan P and Andy, Caroline and Schelbaum, Eva and Jang, Grace and Boneu Yepez, Camila and Pahlajani, Silky and Iván Díaz and Diaz Brinton, Roberta and 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 and Navi, Babak B and Zhang, Cenai and Kim, Jiwon and Devereux, Richard B and Schenck, Edward J and Sedrakyan, Art and Iván Díaz and 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)
Creber, Ruth M Masterson and Daniels, Brock and Munjal, Kevin and Turchioe, Meghan Reading and Topaz, Leah Shafran and Goytia, Crispin and Díaz, Iván and Goyal, Parag and Weiner, Mark and Yu, Jiani and others (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 and Ponath, Gerald and Sweeney, Elizabeth and Nguyen, Thanh D and Lo, Chih Hung and Díaz, Iván and Dimov, Alexey and Teng, Leilei and Zexter, Lily and Comunale, Joseph and others (2022). Dimethyl Fumarate Reduces Inflammation in Chronic Active Multiple Sclerosis Lesions. Neurology-Neuroimmunology Neuroinflammation, 9(2)
Rudolph, Kara E and Shulman, Matisyahu and Fishman, Marc and Díaz, Iván and Rotrosen, John and 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.
Gilbert, Peter B and Montefiori, David C and McDermott, Adrian B and Fong, Youyi and Benkeser, David and Deng, Weiping and Zhou, Honghong and Houchens, Christopher R and Martins, Karen and Jayashankar, Lakshmi and others (2022). Immune correlates analysis of the mRNA-1273 COVID-19 vaccine efficacy clinical trial. Science, 375(6576), 43--50.
Merkler, Alexander E and Zhang, Cenai and Díaz, Iván and Stewart, Carolyn and LeMoss, Natalie M and Mir, Saad and Parikh, Neal and Murthy, Santosh and Lin, Ning and Gupta, Ajay and others (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. and Gimbrone, Catherine and Matthay, Ellicott C. and Díaz, Iván and Davis, Corey S. and Keyes, Katherine and 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 and Hoffman, Katherine L and Schiffer,
Kristen T and Oromendia, Clara and Rice, Michelle C
and Barjaktarevic, Igor and Peters, Stephen P and
Putcha, Nirupama and Bowler, Russell P and Wells, J
Michael and David J. Couper and Wassim W. Labaki and
Jeffrey L. Curtis and Meilan K. Han and Robert Paine
III and Prescott G. Woodruff and Gerard J. Criner
and Nadia N. Hansel and Iván Díaz
and Karla V. Ballman and Kiichi Nakahira and Mary
E. Choi and Fernando J. Martinez and Augustine
M. K. Choi and 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 and Díaz, Iván and Hejazi, Nima S
and van der Laan, Mark J and Luo, Sean X and
Shulman, Matisyahu and Campbell, Aimee and Rotrosen,
John and 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 and Hoffman, Katherine L and Oromendia, Clara and Díaz, Iván and Harrington, John S and Schenck, Edward J and Price, David R and Gomez-Escobar, Luis and Higuera, Angelica and Vera, Mayra Pinilla and others (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 and Parikh, Neal S and Chatterjee, Abhinaba
and Kim, Luke K and Saver, Jeffrey L and Schwamm,
Lee H and Zachrison, Kori S and Nogueira, Raul G and
Adeoye, Opeolu and Díaz, Iván and
others (2021). Access to Mechanical Thrombectomy for Ischemic Stroke in the United States. Stroke, STROKEAHA--120.
Bernstein, Richard A and Kamel, Hooman and Granger, Christopher B and Piccini, Jonathan P and Sethi, Pramod P and Katz, Jeffrey M and Vives, Carola Alfaro and Ziegler, Paul D and Franco, Noreli C and Schwamm, Lee H and others (2021). Effect of Long-term Continuous Cardiac Monitoring vs Usual Care on Detection of Atrial Fibrillation in Patients With Stroke Attributed to Large-or Small-Vessel Disease: The STROKE-AF Randomized Clinical Trial. JAMA, 325(21), 2169--2177.
Murthy, Santosh B and Zhang, Cenai and Díaz, Iván and Levitan, Emily B and Koton, Silvia and Bartz, Traci M and DeRosa, Janet T and Strobino, Kevin and Colantonio, Lisandro D and Iadecola, Costantino and others (2021). Association Between Intracerebral Hemorrhage and Subsequent Arterial Ischemic Events in Participants From 4 Population-Based Cohort Studies. JAMA neurology
Alexander E. Merkler and Neal S. Parikh and Saad Mir and Ajay Gupta and Hooman Kamel and Eaton Lin and Joshua Lantos and Edward J. Schenck and Parag Goyal and Samuel S. Bruce and Joshua Kahan and Kelsey N. Lansdale and Natalie M. LeMoss and Santosh B. Murthy and Philip E. Stieg and Matthew E. Fink and Costantino Iadecola and Alan Z. Segal and Thomas R. Campion Jr and Díaz, Iván and Cenai Zhang and 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 and Chatterjee, Abhinaba and
Díaz, Iván and Merkler, Alexander
E and Murthy, Santosh B and Iadecola, Costantino and
Navi, Babak B and Kamel, Hooman (2020). Trends in Active Cigarette Smoking Among Stroke Survivors in
the United States, 1999 to 2018. Stroke, STROKEAHA--120.
Murthy, Santosh B and Wu, Xian and Díaz, Iván and Parasram, Melvin and Parikh, Neal S and Iadecola, Costantino and Merkler, Alexander E and Falcone, Guido J and Brown, Stacy and Biffi, Alessandro and others (2020). Non-Traumatic Subdural Hemorrhage and Risk of Arterial Ischemic Events. Stroke, 51(5), 1464--1469.
Goyal, P and Unlu, O and Kneifati-Hayek, J and Levitan, E and Chen, L and Díaz, Iván and Hanlon, J and Lachs, M and Maurer, M and Safford, M (2020). Polypharmacy in Older Adults Hospitalized for Heart Failure., 68, S171--S171.
Lin, Jessica and Piran, Pirouz and Lerario, Mackenzie P and Ong, Hanley and Gupta, Ajay and Murthy, Santosh B and Díaz, Iván and Stieg, Philip E and Knopman, Jared and Falcone, Guido J and others (2020). Differences in Admission Blood Pressure Among Causes of Intracerebral Hemorrhage. Stroke, 51(2), 644--647.
Murthy, Santosh B and Díaz, Iván and Wu, Xian and Merkler, Alexander E and Iadecola, Costantino and Safford, Monika M and Sheth, Kevin N and Navi, Babak B and Kamel, Hooman (2020). Risk of Arterial Ischemic Events After Intracerebral Hemorrhage. Stroke, 51(1), 137--142.
Goyal, Parag and Kneifati-Hayek, Jerard and Archambault, Alexi and Mehta, Krisha and Levitan, Emily B and Chen, Ligong and Díaz, Iván and Hollenberg, James and Hanlon, Joseph T and Lachs, Mark S and others (2020). Prescribing patterns of heart failure-exacerbating medications following a heart failure hospitalization. JACC: Heart Failure, 8(1), 25--34.
Telesford, Kiel M and Kaunzner, Ulrike W and Perumal, Jai and Gauthier, Susan A and Wu, Xian and Díaz, Iván and Kruse-Hoyer, Mason and Engel, Casey and Marcille, Melanie and Vartanian, Timothy (2020). Black African and Latino/a identity correlates with increased plasmablasts in MS. Neurology-Neuroimmunology Neuroinflammation, 7(1)
Kamel, Hooman and Navi, Babak B and Merkler, Alexander E and Baradaran, Hediyeh and Díaz, Iván and Parikh, Neal S and Kasner, Scott E and Gladstone, David J and Iadecola, Costantino and Gupta, Ajay (2020). Reclassification of Ischemic Stroke Etiological Subtypes on the Basis of High-Risk Nonstenosing Carotid Plaque. Stroke, STROKEAHA--119.
Rahman, Aneela and Schelbaum, Eva and Hoffman, Katherine and Díaz, Iván and Hristov, Hollie and Andrews, Randolph and Jett, Steven and Jackson, Hande and Lee, Andrea and Sarva, Harini and others (2020). Sex-driven modifiers of Alzheimer risk: A multimodality brain imaging study. Neurology, 95(2), e166--e178.
Benjamin R. Kummer and Mackenzie P. Lerario and Madeleine
D. Hunter and Xian Wu and Elizabeth S. Efraim and Setareh
Salehi Omran and Monica L. Chen and Díaz, Iván and Daniel
Sacchetti and Tim Lekic and Erin R. Kulick and Sammy
Pishanidar and Saad A. Mir and Yi Zhang and Glenn Asaeda,
Babak B. Navi and Randolph S. Marshall and 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.
Murthy, Santosh and Díaz, Iván and Wu, Xian and Merkler, Alexander and Iadecola, Constantino and Navi, Babak B and Kamel, Hooman (2019). Intracerebral Hemorrhage and Increased Risk of Arterial Ischemic Events., 86, S259--S260.
Kummer and Benjamin R and Díaz and Iván and Wu and Xian and Aaroe and Ashley E and Chen and Monica L and Iadecola and Costantino and Kamel and Hooman and Navi and Babak B (2019). Associations between cerebrovascular risk factors and parkinson disease. Annals of Neurology, 86(4), 572--581.
Kamel, Hooman and Okin, Peter M and Merkler, Alexander E and Navi, Babak B and Campion, Thomas R and Devereux, Richard B and Díaz, Iván and Weinsaft, Jonathan W and Kim, Jiwon (2019). Relationship between left atrial volume and ischemic stroke subtype. Annals of Clinical and Translational Neurology, 6(8), 1480--1486.
Yum, Brian and Archambault, Alexi and Levitan, Emily B and Dharamdasani, Tina and Kneifati-Hayek, Jerard and Hanlon, Joseph T and Díaz, Iván and Maurer, Mathew S and Lachs, Mark S and Safford, Monika M and others (2019). Indications for $\beta$-Blocker Prescriptions in Heart Failure with Preserved Ejection Fraction. Journal of the American Geriatrics Society, 67(7), 1461--1466.
Hung, Peter and Finn, Caitlin and Chen, Monica and Knight-Greenfield, Ashley and Baradaran, Hediyeh and Patel, Praneil and Díaz, Iván and Kamel, Hooman and Gupta, Ajay (2019). Effect of Clinical History on Interpretation of Computed Tomography for Acute Stroke. The Neurohospitalist, 9(3), 140--143.
Reynolds, Alexandra S and Chen, Monica L and Merkler, Alexander E and Chatterjee, Abhinaba and Díaz, Iván and Navi, Babak B and 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 and Rahman, Aneela and Díaz, Iván and Wu, Xian and Scheyer, Olivia and Hristov, Hollie Webb and Vallabhajosula, Shankar and Isaacson, Richard S and de Leon, Mony J and 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 and Díaz, Iván and Wu, Xian and Murthy, Santosh B and Gialdini, Gino and Navi, Babak B and Yaghi, Shadi and Weinsaft, Jonathan W and Okin, Peter M and Safford, Monika M and others (2018). Duration of heightened ischemic stroke risk after acute myocardial infarction. Journal of the American Heart Association, 7(22), e010782.
Omran, Setareh Salehi and Boddu, Srikanth Reddy and Gusdon, Aaron M and Kummer, Benjamin and Baradaran, Hediyeh and Patel, Praneil and Díaz, Iván and Navi, Babak B and Gupta, Ajay and Kamel, Hooman and others (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 and Chatterjee, Abhinaba and Díaz, Iván and Pandya, Ankur and Merkler, Alexander E and Gialdini, Gino and Kummer, Benjamin R and Mir, Saad A and Lerario, Michael P and Fink, Matthew E and others (2018). Modeling the Impact of Interhospital Transfer Network Design on Stroke Outcomes in a Large City. Stroke, 49(2), 370--376.
Groh, Mark A and Díaz, Iván and Johnson, Alan M and Ely, Stephen W and Binns, Oliver A and 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, No{\'e}mi and Grieve, Richard and Díaz, Iván and 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.
Kutcher, ME and Díaz, Iván and Redick, BJ and Vilardi, RF and Nelson, MF and Hubbard, A and Cohen, MJ (2012). Critical Mediators of Coagulopathy After Trauma., 52, 33A--33A.
Preprints and Technical Reports
Susmann, Herbert and Li, Yiting and McAdams-DeMarco, Mara A and Díaz Iván and Wu, Wenbo (2024). Doubly Robust Nonparametric Efficient Estimation for Provider Evaluation. arXiv preprint arXiv:2410.19073
McClean, Alec and Li, Yiting and Bae, Sunjae and McAdams-DeMarco, Mara A Díaz Iván and Wu, Wenbo (2024). Fair comparisons of causal parameters with many treatments and positivity violations. arXiv preprint arXiv:2410.13522
Martin, Axel and Santacatterina, Michele and Díaz Iván (2024). Non-parametric efficient estimation of marginal structural models with multi-valued time-varying treatments. arXiv preprint arXiv:2409.18782
Illenberger, Nicholas and Díaz, Iván and
Renson, Audrey (2024). Efficient estimation of longitudinal treatment effects using difference-in-differences and machine learning. arXiv preprint arXiv:2406.16234
Gilbert, Peter B and Peng, James and Han, Larry and Lange, Theis and Lu, Yun and Nie, Lei and Shih, Mei-Chiung and Waddy, Salina P and Wiley, Ken and Yann, Margot and Díaz,
Iván (2024). A Surrogate Endpoint Based Provisional Approval Causal Roadmap. arXiv preprint arXiv:2407.06350
Liu, Richard and Williams, Nicholas T and Rudolph, Kara E and Díaz, Iván (2024). General targeted machine learning for modern causal mediation analysis. arXiv preprint arXiv:2408.14620
Gilbert, Brian and Hoffman, Katherine L and Williams, Nicholas and Rudolph, Kara E and Schenck, Edward J and Díaz, Iván (2024). Identification and estimation of mediational effects of longitudinal modified treatment policies. arXiv preprint arXiv:2403.09928
Van Lancker, Kelly and Díaz, Iván and Vansteelandt, Stijn (2024). Automated, efficient and model-free inference for randomized clinical trials via data-driven covariate adjustment. arXiv preprint arXiv:2404.11150
Rudolph, Kara E and Williams, Nicholas T and Díaz, Iván and Forrest, Sarah and Hoffman, Katherine L and Samples, Hillary and Olfson, Mark and Doan, Lisa and Cerda, Magdalena and Ross, Rachael (2024). Associations between pain-management treatments and opioid use disorder risk among Medicaid patients. arXiv preprint arXiv:2404.11802
Santacatterina, Michele and Giron, Federico Macchiavelli and Zhang, Xinyi and Díaz, Iván (2024). Identification and estimation of causal effects using non-concurrent controls in platform trials. arXiv preprint arXiv:2404.19118
Susmann, Herbert and Díaz, Iván (2024). Local Longitudinal Modified Treatment Policies. arXiv preprint arXiv:2405.06135
Williams, Nicholas T and Liu, Richard and Hoffman, Katherine L and Forrest, Sarah and Rudolph, Kara E and Díaz, Iván (2024). Two-Step Targeted Minimum-Loss Based Estimation for Non-Negative Two-Part Outcomes. arXiv preprint arXiv:2401.04263
Vo, Tat-Thang and Williams, Nicholas and Liu, Richard and Rudolph, Kara E and Díaz, Iván (2024). Recanting twins: addressing intermediate confounding in mediation analysis. arXiv preprint arXiv:2401.04450
Preiss, Alexander and Bhatia, Abhishek and Zang, Chengxi and Aragon, Leyna V and Baratta, John M and Baskaran, Monika and Blancero, Frank and Brannock, M Daniel and Chew, Robert F and Díaz, Iván and others (2024). Effect of Paxlovid Treatment on Long COVID Onset: An EHR-Based Target Trial Emulation from N3C. medRxiv, 2024--01.
Rudolph, Kara E and Williams, Nicholas T and Stuart, Elizabeth A and Díaz, Iván (2023). Efficiently transporting average treatment effects using a sufficient subset of effect modifiers. arXiv e-prints, arXiv--2304.
Schomaker, Michael and McIlleron, Helen and Denti, Paolo and Díaz, Iván (2023). Causal Inference for Continuous Multiple Time Point Interventions. arXiv preprint arXiv:2305.06645
Vo, Tat-Thang and Rudolph, Kara E and Díaz, Iván (2022). Heterogeneity assessment in causal data fusion problems. arXiv preprint arXiv:2208.05543
Hejazi, Nima S and Benkeser, David and Díaz, Iván and 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 and Díaz, Iván and 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