| 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 | 146 | 2020 |
| Population intervention causal effects based on stochastic interventions ID Muñoz, M van der Laan Biometrics 68 (2), 541-549, 2012 | 109 | 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 | 38 | 2018 |
| Causal inference for social network data EL Ogburn, O Sofrygin, I Diaz, MJ van der Laan arXiv preprint arXiv:1705.08527, 2017 | 35 | 2017 |
| 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 | 35 | 2015 |
| Super learner based conditional density estimation with application to marginal structural models I Díaz Muñoz, MJ van der Laan bepress, 2011 | 33 | 2011 |
| 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 | 31 | 2013 |
| 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 | 28 | 2013 |
| 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 | 27 | 2008 |
| 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 | 24 | 2015 |
| 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 | 21 | 2013 |
| 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 | 18 | 2018 |
| Higher-order Targeted Minimum Loss-based Estimation M Carone, I Díaz, MJ van der Laan bepress, 2014 | 18 | 2014 |
| 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 | 17 | 2019 |
| Efficient estimation of quantiles in missing data models I Díaz Journal of Statistical Planning and Inference 190, 39-51, 2017 | 17 | 2017 |
| Causal mediation analysis for stochastic interventions I Díaz, NS Hejazi Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020 | 15 | 2020 |
| 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 | 15 | 2016 |
| 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 | 15 | 2013 |
| 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 | 14 | 2020 |
Mark van der LaanJiann-Ping Hsu/Karl E. Peace Professor of Biostatistics & Statistics, University of California BerkeleyVerified email at berkeley.edu
