Iván Díaz
Iván Díaz
Assistant Professor, Weill Cornell Medicine
Verified email at med.cornell.edu - Homepage
Title
Cited by
Cited by
Year
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
1462020
Population intervention causal effects based on stochastic interventions
ID Muñoz, M van der Laan
Biometrics 68 (2), 541-549, 2012
1092012
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
382018
Causal inference for social network data
EL Ogburn, O Sofrygin, I Diaz, MJ van der Laan
arXiv preprint arXiv:1705.08527, 2017
352017
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
352015
Super learner based conditional density estimation with application to marginal structural models
I Díaz Muñoz, MJ van der Laan
bepress, 2011
332011
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
312013
Time-Dependent Prediction and Evaluation of Variable Importance Using SuperLearning in High Dimensional Clinical Data
A Hubbard, ID Munoz, A Decker, JB Holcomb, MA Schreiber, EM Bulger, ...
The journal of trauma and acute care surgery 75 (1 0 1), S53, 2013
282013
Intervalos de confianza e intervalos de credibilidad para una proporción
E Cepeda-Cuervo, W Aguilar, V Cervantes, M Corrales, I Díaz, ...
Revista Colombiana de Estadística 31 (2), 211-228, 2008
272008
Variable importance and prediction methods for longitudinal problems with missing variables
I Diaz, A Hubbard, A Decker, M Cohen
PloS one 10 (3), e0120031, 2015
242015
Assessing the causal effect of policies: an example using stochastic interventions
I Díaz, MJ van der Laan
The international journal of biostatistics 9 (2), 161-174, 2013
212013
Estimating Population Treatment Effects From a Survey Subsample
SEA Rudolph KE, Díaz I, Rosenblum M
American Journal of Epidemiology 180 (7), 737-748, 0
20*
Global sensitivity analysis for repeated measures studies with informative drop‐out: A semi‐parametric approach
D Scharfstein, A McDermott, I Díaz, M Carone, N Lunardon, I Turkoz
Biometrics 74 (1), 207-219, 2018
182018
Higher-order Targeted Minimum Loss-based Estimation
M Carone, I Díaz, MJ van der Laan
bepress, 2014
182014
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
172019
Efficient estimation of quantiles in missing data models
I Díaz
Journal of Statistical Planning and Inference 190, 39-51, 2017
172017
Causal mediation analysis for stochastic interventions
I Díaz, NS Hejazi
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020
152020
Second-order inference for the mean of a variable missing at random
I Díaz, M Carone, MJ van der Laan
The international journal of biostatistics 12 (1), 333-349, 2016
152016
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
152013
Reclassification of ischemic stroke etiological subtypes on the basis of high-risk nonstenosing carotid plaque
H Kamel, BB Navi, AE Merkler, H Baradaran, I Díaz, NS Parikh, ...
Stroke 51 (2), 504-510, 2020
142020
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