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Carly Brantner

Assistant Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Biostatistics
300 W. Morgan Street, Durham, NC 27701

Overview


Carly L. Brantner, PhD, joined the Department of Biostatistics and Bioinformatics and the Duke Clinical Research Institute in 2024. She is both a methodological and collaborative biostatistician. Her methodological background primarily centers around causal inference, focusing on developing and adapting machine learning methods to integrate multiple data sources and estimate heterogeneous treatment effects. She is particularly interested in aiding efficient and effective personalized treatment decisions through robust statistical approaches. She is passionate about impacting health across many areas, including but not limited to female health, mental health, sport science, musculoskeletal systems and function, and aging.

Current Appointments & Affiliations


Assistant Professor of Biostatistics & Bioinformatics · 2024 - Present Biostatistics & Bioinformatics, Division of Biostatistics, Biostatistics & Bioinformatics
Member in the Duke Clinical Research Institute · 2024 - Present Duke Clinical Research Institute, Institutes and Centers

Recent Publications


Gaps in psychiatric care before and after the COVID-19 pandemic among patients with depression using electronic health records.

Journal Article Psychiatry Res · February 2025 The COVID-19 pandemic caused disruption to health services. It is unclear if there were inequalities in the continuity of mental health care in the years around the COVID-19 pandemic. We used electronic health records (EHR) to detect mental health care gap ... Full text Link to item Cite

Subtypes of Transitions into a Family Caregiving Role: A Latent Class Analysis.

Journal Article J Appl Gerontol · April 2024 This paper groups persons who have transitioned into family caregiving using a latent class analysis and examines class differences on measures of well-being. Latent classes were identified for a sample of 251 participants who became family caregivers whil ... Full text Open Access Link to item Cite

Comparison of methods that combine multiple randomized trials to estimate heterogeneous treatment effects.

Journal Article Stat Med · March 30, 2024 Individualized treatment decisions can improve health outcomes, but using data to make these decisions in a reliable, precise, and generalizable way is challenging with a single dataset. Leveraging multiple randomized controlled trials allows for the combi ... Full text Open Access Link to item Cite
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Recent Grants


PCORNet Statment 9: Representativeness

ResearchCo Investigator · Awarded by Patient-Centered Outcomes Research Institute · 2024 - 2025

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Education, Training & Certifications


Johns Hopkins Unversity, Bloomberg School of Public Health · 2024 Ph.D.