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Iván Díaz

New York University · US
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Area of research
Statistics and Probability · Economics and Econometrics
Research interest
Research interests include Advanced Causal Inference Techniques, Statistical Methods and Inference, Statistical Methods and Bayesian Inference, and Health Systems, Economic Evaluations, Quality of Life.
h-index
31
citations
3,954
works
226
NIH funding
primary concept
Medicine
email

Recent publications

Integrating Artificial Intelligence into Causal Research in Epidemiology
Current Epidemiology Reports 2025cited by 9position: middledoi
A natural language processing pipeline for identifying pediatric long COVID symptoms and functional impacts in freeform clinical notes: a RECOVER study
JAMIA Open 2025cited by 0position: middledoi
Studying Continuous, Time-varying, and/or Complex Exposures Using Longitudinal Modified Treatment Policies
Epidemiology 2024cited by 16position: lastdoi
Pain Management Treatments and Opioid Use Disorder Risk in Medicaid Patients
American Journal of Preventive Medicine 2024cited by 11position: middledoi
A causal roadmap for generating high-quality real-world evidence
Journal of Clinical and Translational Science 2023cited by 65position: middledoi
Atrial Fibrillation In Patients With Stroke Attributed to Large- or Small-Vessel Disease
JAMA Neurology 2023cited by 36position: middledoi
Causal survival analysis under competing risks using longitudinal modified treatment policies
Lifetime Data Analysis 2023cited by 24position: firstdoi
Validation of the <i>International Classification of Diseases, Tenth Revision</i> Code for the National Institutes of Health Stroke Scale Score
Circulation Cardiovascular Quality and Outcomes 2023cited by 20position: middledoi
Effect of Sepsis on Death as Modified by Solid Organ Transplantation
Open Forum Infectious Diseases 2023cited by 19position: middledoi
Causal Inference for Social Network Data
Journal of the American Statistical Association 2022cited by 107position: middledoi
Comparison of a Target Trial Emulation Framework vs Cox Regression to Estimate the Association of Corticosteroids With COVID-19 Mortality
JAMA Network Open 2022cited by 37position: lastdoi
When Effects Cannot be Estimated: Redefining Estimands to Understand the Effects of Naloxone Access Laws
Epidemiology 2022cited by 32position: middledoi
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) 2022cited by 16position: lastdoi
Buprenorphine &amp; methadone dosing strategies to reduce risk of relapse in the treatment of opioid use disorder
Drug and Alcohol Dependence 2022cited by 14position: middledoi
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
JAMA 2021cited by 197position: middledoi
Access to Mechanical Thrombectomy for Ischemic Stroke in the United States
Stroke 2021cited by 81position: middledoi
Association Between Intracerebral Hemorrhage and Subsequent Arterial Ischemic Events in Participants From 4 Population-Based Cohort Studies
JAMA Neurology 2021cited by 58position: middledoi
Association of plasma mitochondrial DNA with COPD severity and progression in the SPIROMICS cohort
Respiratory Research 2021cited by 31position: middledoi
Risk of Ischemic Stroke in Patients With Coronavirus Disease 2019 (COVID-19) vs Patients With Influenza
JAMA Neurology 2020cited by 925position: middledoi
Polypharmacy in Older Adults Hospitalized for Heart Failure
Circulation Heart Failure 2020cited by 171position: middledoi
Nonparametric efficient causal mediation with intermediate confounders
Biometrika 2020cited by 59position: firstdoi
Machine Learning Prediction of Stroke Mechanism in Embolic Strokes of Undetermined Source
Stroke 2020cited by 54position: lastdoi
Associations between cerebrovascular risk factors and parkinson disease
Annals of Neurology 2019cited by 127position: middledoi
Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning
Biostatistics 2019cited by 79position: firstdoi
Reclassification of Ischemic Stroke Etiological Subtypes on the Basis of High-Risk Nonstenosing Carotid Plaque
Stroke 2019cited by 63position: middledoi
Risk of Arterial Ischemic Events After Intracerebral Hemorrhage
Stroke 2019cited by 59position: middledoi
Prescribing Patterns of Heart Failure-Exacerbating Medications Following a Heart Failure Hospitalization
JACC Heart Failure 2019cited by 35position: middledoi
Indications for β‐Blocker Prescriptions in Heart Failure with Preserved Ejection Fraction
Journal of the American Geriatrics Society 2019cited by 16position: middledoi
Duration of Heightened Ischemic Stroke Risk After Acute Myocardial Infarction
Journal of the American Heart Association 2018cited by 53position: middledoi
Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury
Health Economics 2015cited by 59position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Hooman Kamel · Weill Cornell Medical College in Qatar9 papers (2018–2023)Babak B. Navi · Cornell University8 papers (2018–2023)Costantino Iadecola · Cornell University7 papers (2018–2021)Monika M. Safford · Cornell University6 papers (2018–2021)Alexander E. Merkler · Cornell University6 papers (2018–2023)Neal S. Parikh · Alnylam Pharmaceuticals (United States)5 papers (2019–2023)Nicholas Williams · Columbia University5 papers (2022–2024)Kara E. Rudolph · Columbia University5 papers (2020–2024)Santosh B. Murthy · Cornell University4 papers (2018–2021)Parag Goyal · Cornell University4 papers (2019–2020)Emily B. Levitan · University of Alabama at Birmingham4 papers (2019–2021)Jerard Kneifati‐Hayek · Weill Cornell Medicine3 papers (2019–2020)Edward J. Schenck · Cornell University3 papers (2020–2023)Xian Wu · Hangzhou Medical College3 papers (2018–2019)Joseph T. Hanlon · University of Pittsburgh3 papers (2019–2020)Alexi Archambault · Regeneron (United States)3 papers (2019–2020)Ajay Gupta · Roswell Park Comprehensive Cancer Center3 papers (2019–2020)Magdalena Cerdá · Hospital Luis Calvo Mackenna3 papers (2022–2025)Cenai Zhang · Cornell University3 papers (2020–2023)Ligong Chen · University of Alabama at Birmingham2 papers (2019–2020)
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