Alejandro Schuler
Title
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Year
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
742018
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
312018
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
282018
Cost-effectiveness of Intensive Blood Pressure Management
JDGF Ilana B. Richman, Michael Fairley, Mads Emil Jørgensen, Alejandro ...
JAMA Cardiology, 2016
282016
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
192018
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
172016
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
162018
Ngboost: Natural gradient boosting for probabilistic prediction
T Duan, A Avati, DY Ding, S Basu, AY Ng, A Schuler
arXiv preprint arXiv:1910.03225, 2019
132019
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
82018
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
72018
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
72017
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
42020
How confident are we about observational findings in health care: a benchmark study
MJ Schuemie, MS Cepeda, MA Suchard, J Yang, Y Tian, A Schuler, ...
Harvard Data Science Review 2 (1), 2020
32020
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
32018
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
32017
General-purpose validation and model selection when estimating individual treatment effects
A Schuler, N Shah
ArXiv. org, 2018
22018
PREDICTION OF OBSTETRIC AND FETAL COMPLICATIONS USING AUTOMATED ELECTRONIC HEALTH RECORD DATA
GJ Escobar, L Soltesz, A Schuler, H Niki, I Malenica, C Lee
American Journal of Obstetrics and Gynecology, 2020
2020
Assessment of Value of Neighborhood Socioeconomic Status in Models That Use Electronic Health Record Data to Predict Health Care Use Rates and Mortality
A Schuler, L O’Súilleabháin, G Rinetti-Vargas, P Kipnis, F Barreda, VX Liu, ...
JAMA Network Open 3 (10), e2017109-e2017109, 2020
2020
Performance metrics for intervention-triggering prediction models do not reflect an expected reduction in outcomes from using the model
A Schuler, A Bhardwaj, V Liu
arXiv preprint arXiv:2006.01752, 2020
2020
A Causal Machine Learning Framework for Predicting Preventable Hospital Readmissions
BJ Marafino, A Schuler, VX Liu, GJ Escobar, M Baiocchi
arXiv preprint arXiv:2005.14409, 2020
2020
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Articles 1–20