Patrick J. Heagerty

Professor

University of Washington

United States

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About

Patrick J. Heagerty is a Professor at the University of Washington in the United States. His research focuses on advanced methodologies in clinical trials, healthcare utilization among vulnerable populations, and the application of machine learning in health outcomes. Recent articles highlight his work on biomarker changes in colorectal cancer recurrence, treatment responses in dialysis patients, and disparities in cancer data as represented in electronic health records.

Articles (17)

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2025

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2024

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (16)

Jeffrey Jarvik

Professor

University of Washington

UNITED STATES

Patrick J. Heagerty

Research Interests

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Articles (17)

Childhood Differences in Healthcare Utilization Between Extremely Preterm Infants and the General Population

Perplexity and proximity: Large language model perplexity complements semantic distance metrics for the detection of incoherent speech

Mortality after concurrent treatment with gabapentin and opioids in older adults with spine diagnoses

Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs

Robust analysis of stepped wedge trials using composite likelihood models

Effectiveness of Existing Insomnia Therapies for Patients Undergoing Hemodialysis

Racial Disparities in the Ascertainment of Cancer Recurrence in Electronic Health Records

Anxiety and Response to Treatment of Depression in People Undergoing Maintenance Hemodialysis

Improving Power and Accuracy in Randomized Controlled Trials of Pain Treatments by Accounting for Concurrent Analgesic Use

Using Machine Learning to Leverage Biomarker Change and Predict Colorectal Cancer Recurrence

A two-stage super learner for healthcare expenditures

Model misspecification in stepped wedge trials: Random effects for time or treatment

Do Extremely Low Gestational Age Neonates Regulate Iron Absorption via Hepcidin?

Enteral Iron Supplementation in Infants Born Extremely Preterm and its Positive Correlation with Neurodevelopment; Post Hoc Analysis of the Preterm Erythropoietin Neuroprotection Trial Randomized Controlled Trial

Diffusion Tensor Imaging Changes Do Not Affect Long-Term Neurodevelopment following Early Erythropoietin among Extremely Preterm Infants in the Preterm Erythropoietin Neuroprotection Trial

Perceived Utility and Characterization of Personal Google Search Histories to Detect Data Patterns Proximal to a Suicide Attempt in Individuals Who Previously Attempted Suicide: Pilot Cohort Study

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Collaborators (16)

Jeffrey Jarvik

Rajnish Mehrotra

Fan Li

David Benkeser

Anirban Basu

Dennis Mayock

Aasthaa Bansal

James P. Hughes

Alex Cohen

Ellen Bradley

Trevor Cohen

Thomas R. Wood

Katie Strobel

Janessa Law

Mihai Puia-Dumitrescu

Seth Berkowitz

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