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Titration of Ventilator Settings to Target Driving Pressure and Mechanical Power

Respiratory care, 2023-02, Vol.68 (2), p.199-207

2023

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Fluid-limiting treatment strategies among sepsis patients in the ICU: a retrospective causal analysis

Critical care (London, England), 2020-02, Vol.24 (1), p.62-9, Article 62

2020

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Trends in Control of Unobserved Confounding

Epidemiology (Cambridge, Mass.), 2017-07, Vol.28 (4), p.537-539

Shahn, Zach

2017

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Commentary: Trends in Control of Unobserved Confounding

Epidemiology (Cambridge, Mass.), 2017-07, Vol.28 (4), p.537-539

Shahn, Zach

2017

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Can metformin prevent cancer relative to sulfonylureas? A target trial emulation accounting for competing risks and poor overlap via double/debiased machine learning estimators

American journal of epidemiology, 2024-07

2024

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1515: SHOULD DIURETIC INITIATION BE DELAYED IN ICU PATIENTS WITH RECENT VASOPRESSOR USE? A CAUSAL ANALYSIS

Critical care medicine, 2020-01, Vol.48 (1), p.733-733

2020

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A Price Too High: Injury and Assault among Delivery Gig Workers in New York City

Journal of urban health, 2024-06, Vol.101 (3), p.439-450

2024

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Effects of aggressive and conservative strategies for mechanical ventilation liberation

Journal of critical care, 2023-08, Vol.76, p.154275-154275, Article 154275

2023

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Price Too High: Injury and Assault Among Delivery Gig Workers in New York City

Environmental health perspectives. Supplements, 2024-08, Vol.2024 (1)

2024

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Systematically exploring repurposing effects of antihypertensives

Pharmacoepidemiology and drug safety, 2022-09, Vol.31 (9), p.944-952

2022

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The impact of aggressive and conservative propensity for initiation of neuromuscular blockade in mechanically ventilated patients with hypoxemic respiratory failure

Journal of critical care, 2024-08, Vol.82, p.154803, Article 154803

2024

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State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study

AMIA ... Annual Symposium proceedings, 2021, Vol.2021, p.334-342

2021

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Finding Causal Mechanistic Drug-Drug Interactions from Observational Data

AMIA ... Annual Symposium proceedings, 2020, Vol.2020, p.363-372

2020

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Systematically Exploring Repurposing Effects of Anti-hypertensives

Pharmacoepidemiology and drug safety, 2022-06

2022

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G-Computation and Hierarchical Models for Estimating Multiple Causal Effects From Observational Disease Registries With Irregular Visits

AMIA Summits on Translational Science proceedings, 2019, Vol.2019, p.789-798

2019

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Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge

AMIA Summits on Translational Science proceedings, 2021, Vol.2021, p.132-141

2021

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Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data

2018 IEEE International Conference on Healthcare Informatics (ICHI), 2018, p.144-151

2018

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Titration of Ventilator Settings to Target Driving Pressure and Mechanical Power

Fluid-limiting treatment strategies among sepsis patients in the ICU: a retrospective causal analysis

Trends in Control of Unobserved Confounding

Commentary: Trends in Control of Unobserved Confounding

Can metformin prevent cancer relative to sulfonylureas? A target trial emulation accounting for competing risks and poor overlap via double/debiased machine learning estimators

1515: SHOULD DIURETIC INITIATION BE DELAYED IN ICU PATIENTS WITH RECENT VASOPRESSOR USE? A CAUSAL ANALYSIS

A Price Too High: Injury and Assault among Delivery Gig Workers in New York City

Effects of aggressive and conservative strategies for mechanical ventilation liberation

Price Too High: Injury and Assault Among Delivery Gig Workers in New York City

Systematically exploring repurposing effects of antihypertensives

The impact of aggressive and conservative propensity for initiation of neuromuscular blockade in mechanically ventilated patients with hypoxemic respiratory failure

State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study

Finding Causal Mechanistic Drug-Drug Interactions from Observational Data

Systematically Exploring Repurposing Effects of Anti-hypertensives

G-Computation and Hierarchical Models for Estimating Multiple Causal Effects From Observational Disease Registries With Irregular Visits

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge

Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data

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