Iván Díaz
Iván Díaz
Other namesIván Díaz Muñoz
Associate Professor, NYU Grossman School of Medicine
Verified email at - Homepage
Cited by
Cited by
Immune correlates analysis of the mRNA-1273 COVID-19 vaccine efficacy clinical trial
PB Gilbert, DC Montefiori, AB McDermott, Y Fong, D Benkeser, W Deng, ...
Science 375 (6576), 43-50, 2022
Risk of ischemic stroke in patients with coronavirus disease 2019 (COVID-19) vs patients with influenza
AE Merkler, NS Parikh, S Mir, A Gupta, H Kamel, E Lin, J Lantos, ...
JAMA neurology 77 (11), 1366-1372, 2020
Population intervention causal effects based on stochastic interventions
ID Muñoz, M Van Der Laan
Biometrics 68 (2), 541-549, 2012
Increased Alzheimer's risk during the menopause transition: a 3-year longitudinal brain imaging study
L Mosconi, A Rahman, I Diaz, X Wu, O Scheyer, HW Hristov, ...
PloS one 13 (12), e0207885, 2018
Causal inference for social network data
EL Ogburn, O Sofrygin, I Diaz, MJ Van der Laan
Journal of the American Statistical Association 119 (545), 597-611, 2024
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 …
RA Bernstein, H Kamel, CB Granger, JP Piccini, PP Sethi, JM Katz, ...
Jama 325 (21), 2169-2177, 2021
Polypharmacy in older adults hospitalized for heart failure
O Unlu, EB Levitan, E Reshetnyak, J Kneifati-Hayek, I Diaz, ...
Circulation: Heart Failure 13 (11), e006977, 2020
Sex-driven modifiers of Alzheimer risk: a multimodality brain imaging study
A Rahman, E Schelbaum, K Hoffman, I Diaz, H Hristov, R Andrews, S Jett, ...
Neurology 95 (2), e166-e178, 2020
Associations between cerebrovascular risk factors and parkinson disease
BR Kummer, I Diaz, X Wu, AE Aaroe, ML Chen, C Iadecola, H Kamel, ...
Annals of neurology 86 (4), 572-581, 2019
Nonparametric causal effects based on longitudinal modified treatment policies
I Díaz, N Williams, KL Hoffman, EJ Schenck
Journal of the American Statistical Association 118 (542), 846-857, 2023
Sensitivity analysis for causal inference under unmeasured confounding and measurement error problems
I Díaz, MJ van der Laan
The international journal of biostatistics 9 (2), 149-160, 2013
Evaluation of the effect of a continuous treatment: a machine learning approach with an application to treatment for traumatic brain injury
N Kreif, R Grieve, I Díaz, D Harrison
Health economics 24 (9), 1213-1228, 2015
Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning
I Díaz
Biostatistics 21 (2), 353-358, 2020
Super learner based conditional density estimation with application to marginal structural models
I Díaz Muñoz, MJ van der Laan
The international journal of biostatistics 7 (1), 0000102202155746791356, 2011
Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes
D Benkeser, I Díaz, A Luedtke, J Segal, D Scharfstein, M Rosenblum
Biometrics 77 (4), 1467-1481, 2021
Immune correlates analysis of the ENSEMBLE single Ad26. COV2. S dose vaccine efficacy clinical trial
Y Fong, AB McDermott, D Benkeser, S Roels, DJ Stieh, A Vandebosch, ...
Nature microbiology 7 (12), 1996-2010, 2022
Risk of arterial ischemic events after intracerebral hemorrhage
SB Murthy, I Diaz, X Wu, AE Merkler, C Iadecola, MM Safford, KN Sheth, ...
Stroke 51 (1), 137-142, 2020
Causal mediation analysis for stochastic interventions
I Díaz, NS Hejazi
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020
Targeted data adaptive estimation of the causal dose–response curve
I Díaz, MJ van der Laan
Journal of Causal Inference 1 (2), 171-192, 2013
Nonparametric efficient causal mediation with intermediate confounders
I Díaz, NS Hejazi, KE Rudolph, MJ van Der Laan
Biometrika 108 (3), 627-641, 2021
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