| Some methods for heterogeneous treatment effect estimation in high dimensions S Powers, J Qian, K Jung, A Schuler, NH Shah, T Hastie, R Tibshirani Statistics in medicine 37 (11), 1767-1787, 2018 | 86 | 2018 |
| The impact of acute organ dysfunction on long-term survival among sepsis survivors A Schuler, DA Wulf, Y Lu, TJ Iwashyna, GJ Escobar, NH Shah, VX Liu Critical care medicine 46 (6), 843, 2018 | 34 | 2018 |
| Comparing methods for estimation of heterogeneous treatment effects using observational data from health care databases T Wendling, K Jung, A Callahan, A Schuler, NH Shah, B Gallego Statistics in medicine 37 (23), 3309-3324, 2018 | 31 | 2018 |
| Cost-effectiveness of Intensive Blood Pressure Management JDGF Ilana B. Richman, Michael Fairley, Mads Emil Jørgensen, Alejandro ... JAMA Cardiology, 2016 | 29 | 2016 |
| Association of hemoglobin A1c levels with use of sulfonylureas, dipeptidyl peptidase 4 inhibitors, and thiazolidinediones in patients with type 2 diabetes treated with … R Vashisht, K Jung, A Schuler, JM Banda, RW Park, S Jin, L Li, JT Dudley, ... JAMA network open 1 (4), e181755-e181755, 2018 | 25 | 2018 |
| A comparison of methods for model selection when estimating individual treatment effects A Schuler, M Baiocchi, R Tibshirani, N Shah arXiv preprint arXiv:1804.05146, 2018 | 20 | 2018 |
| Discovering patient phenotypes using generalized low rank models A Schuler, V Liu, J Wan, A Callahan, M Udell, DE Stark, NH Shah Biocomputing 2016: Proceedings of the Pacific Symposium, 144-155, 2016 | 19 | 2016 |
| Ngboost: Natural gradient boosting for probabilistic prediction T Duan, A Anand, DY Ding, KK Thai, S Basu, A Ng, A Schuler International Conference on Machine Learning, 2690-2700, 2020 | 16 | 2020 |
| Performing an informatics consult: methods and challenges A Schuler, A Callahan, K Jung, NH Shah Journal of the American College of Radiology 15 (3), 563-568, 2018 | 11 | 2018 |
| An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes JK Wang, J Hom, S Balasubramanian, A Schuler, NH Shah, MK Goldstein, ... Journal of biomedical informatics 86, 109-119, 2018 | 10 | 2018 |
| Synth-validation: Selecting the best causal inference method for a given dataset A Schuler, K Jung, R Tibshirani, T Hastie, N Shah arXiv preprint arXiv:1711.00083, 2017 | 8 | 2017 |
| How confident are we about observational findings in healthcare: a benchmark study MJ Schuemie, MS Cepeda, MA Suchard, J Yang, Y Tian, A Schuler, ... Harvard data science review 2 (1), 2020 | 7 | 2020 |
| Association between peripheral blood oxygen saturation (SpO2)/fraction of inspired oxygen (FiO2) ratio time at risk and hospital mortality in mechanically ventilated patients JY Adams, AJ Rogers, A Schuler, GP Marelich, JM Fresco, SL Taylor, ... The Permanente Journal 24, 2020 | 6 | 2020 |
| Automated identification of adults at risk for in-hospital clinical deterioration GJ Escobar, VX Liu, A Schuler, B Lawson, JD Greene, P Kipnis New England Journal of Medicine 383 (20), 1951-1960, 2020 | 5 | 2020 |
| Inpatient clinical order patterns machine-learned from teaching versus attending-only medical services JK Wang, A Schuler, NH Shah, MTM Baiocchi, JH Chen AMIA Summits on Translational Science Proceedings 2018, 226, 2018 | 3 | 2018 |
| The association between SpO2/FiO2 ratio time-at-risk and hospital mortality in mechanically ventilated patients JY Adams, A Rogers, A Schuler, GP Marelich, JM Fresco, SL Taylor, ... C23. CRITICAL CARE: WHAT CAN BE MEASURED CAN BE IMPROVED-INVESTIGATING THE …, 2017 | 3 | 2017 |
| General-purpose validation and model selection when estimating individual treatment effects A Schuler, N Shah ArXiv. org, 2018 | 2 | 2018 |
| Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score A Schuler, D Walsh, D Hall, J Walsh, C Fisher arXiv preprint arXiv:2012.09935, 2020 | 1 | 2020 |
| Bayesian prognostic covariate adjustment D Walsh, A Schuler, D Hall, J Walsh, C Fisher arXiv preprint arXiv:2012.13112, 2020 | | 2020 |
| Predicting preventable hospital readmissions with causal machine learning BJ Marafino, A Schuler, VX Liu, GJ Escobar, M Baiocchi Health Services Research 55 (6), 993-1002, 2020 | | 2020 |
Nigam ShahAssociate Professor of Medicine, Stanford UniversityVerified email at stanford.edu
