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Some methods for heterogeneous treatment effect estimation in high dimensions

Statistics in medicine, 2018-05, Vol.37 (11), p.1767-1787

2018

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Using digital twins to reduce sample sizes while maintaining power and statistical accuracy

Alzheimer's & dementia, 2021-12, Vol.17 (S9), p.n/a

2021

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Unsupervised Learning for Automated Detection of Coronary Artery Disease Subgroups

Journal of the American Heart Association, 2021-12, Vol.10 (23), p.e021976

2021

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Probabilistic Prediction of Oceanographic Velocities with Multivariate Gaussian Natural Gradient Boosting

Environmental Data Science, 2023, Vol.2, Article e10

2023

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Mixed Models for Repeated Measures Should Include Time-by-Covariate Interactions to Assure Power Gains and Robustness Against Dropout Bias Relative to Complete-Case ANCOVA

Therapeutic innovation & regulatory science, 2022, Vol.56 (1), p.145-154

Schuler, Alejandro

2022

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Designing efficient randomized trials: power and sample size calculation when using semiparametric efficient estimators

The international journal of biostatistics, 2021-08, Vol.18 (1), p.151-171

Schuler, Alejandro

2021

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The Presentation, Pace, and Profile of Infection and Sepsis Patients Hospitalized Through the Emergency Department: An Exploratory Analysis

Critical care explorations, 2021-03, Vol.3 (3), p.e0344-e0344

2021

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Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration

The New England journal of medicine, 2020-11, Vol.383 (20), p.1951-1960

2020

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Automated alerts in obstetrics

American journal of obstetrics and gynecology, 2021-08, Vol.225 (2), p.208-208

2021

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Prediction of obstetrical and fetal complications using automated electronic health record data

American journal of obstetrics and gynecology, 2021-02, Vol.224 (2), p.137-147.e7

2021

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Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score

The international journal of biostatistics, 2022-11, Vol.18 (2), p.329-356

2022

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The Impact of Acute Organ Dysfunction on Long-Term Survival in Sepsis

Critical care medicine, 2018-06, Vol.46 (6), p.843-849

2018

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Comparing the effectiveness of a brief intervention to reduce unhealthy alcohol use among adult primary care patients with and without depression: A machine learning approach with augmented inverse probability weighting

Drug and alcohol dependence, 2022-10, Vol.239, p.109607-109607, Article 109607

2022

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SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R

Journal of open source software, 2023, Vol.8 (91), p.5422

2023

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Predicting preventable hospital readmissions with causal machine learning

Health services research, 2020-12, Vol.55 (6), p.993-1002

2020

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Performing an Informatics Consult: Methods and Challenges

Journal of the American College of Radiology, 2018-03, Vol.15 (3), p.563-568

2018

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Evaluation of an intervention targeted with predictive analytics to prevent readmissions in an integrated health system: observational study

BMJ (Online), 2021-08, p.n1747

2021

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Exploratory analysis of novel electronic health record variables for quantification of healthcare delivery strain, prediction of mortality, and prediction of imminent discharge

Journal of the American Medical Informatics Association : JAMIA, 2022-05, Vol.29 (6), p.1078-1090

2022

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Correction to “Predicting preventable hospital readmissions with causal machine learning”

Health services research, 2021-02, Vol.56 (1), p.168-168

2021

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The impact of acute organ dysfunction on long-term survival among sepsis survivors

Critical care medicine, 2018-06, Vol.46 (6), p.843-849

2018

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Some Methods to Compare the Real-World Performance of Causal Estimators

Schuler, Alejandro

2018

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An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes

Journal of biomedical informatics, 2018-10, Vol.86, p.109-119

2018

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DISCOVERING PATIENT PHENOTYPES USING GENERALIZED LOW RANK MODELS

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2016, Vol.21, p.144

2016

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Cost-effectiveness of Intensive Blood Pressure Management

JAMA cardiology, 2016-11, Vol.1 (8), p.872

2016

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Assessment of Value of Neighborhood Socioeconomic Status in Models That Use Electronic Health Record Data to Predict Health Care Use Rates and Mortality

JAMA network open, 2020-10, Vol.3 (10), p.e2017109-e2017109

2020

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Some methods for heterogeneous treatment effect estimation in high dimensions

Using digital twins to reduce sample sizes while maintaining power and statistical accuracy

Unsupervised Learning for Automated Detection of Coronary Artery Disease Subgroups

Probabilistic Prediction of Oceanographic Velocities with Multivariate Gaussian Natural Gradient Boosting

Mixed Models for Repeated Measures Should Include Time-by-Covariate Interactions to Assure Power Gains and Robustness Against Dropout Bias Relative to Complete-Case ANCOVA

Designing efficient randomized trials: power and sample size calculation when using semiparametric efficient estimators

The Presentation, Pace, and Profile of Infection and Sepsis Patients Hospitalized Through the Emergency Department: An Exploratory Analysis

Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration

Automated alerts in obstetrics

Prediction of obstetrical and fetal complications using automated electronic health record data

Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score

The Impact of Acute Organ Dysfunction on Long-Term Survival in Sepsis

Comparing the effectiveness of a brief intervention to reduce unhealthy alcohol use among adult primary care patients with and without depression: A machine learning approach with augmented inverse probability weighting

SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R

Predicting preventable hospital readmissions with causal machine learning

Performing an Informatics Consult: Methods and Challenges

Evaluation of an intervention targeted with predictive analytics to prevent readmissions in an integrated health system: observational study

Exploratory analysis of novel electronic health record variables for quantification of healthcare delivery strain, prediction of mortality, and prediction of imminent discharge

Correction to “Predicting preventable hospital readmissions with causal machine learning”

The impact of acute organ dysfunction on long-term survival among sepsis survivors

Some Methods to Compare the Real-World Performance of Causal Estimators

An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes

DISCOVERING PATIENT PHENOTYPES USING GENERALIZED LOW RANK MODELS

Cost-effectiveness of Intensive Blood Pressure Management

Assessment of Value of Neighborhood Socioeconomic Status in Models That Use Electronic Health Record Data to Predict Health Care Use Rates and Mortality

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