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John Gallis

Biostatistician, Senior
Biostatistics & Bioinformatics
Duke Box 2721, Durham, NC 27710
2424 Erwin Road Ste 1106, 11028A Hock Plaza, Durham, NC 27705

Overview


Overview
John currently collaborates with researchers and methodologists at the Duke Global Health Institute and the Duke Department of Biostatistics & Bioinformatics.  His varied research experience includes design and analysis of weight loss-related randomized controlled trials (RCTs), design and analysis of cluster randomized trials (CRTs), and implementation of the multiphase optimization strategy (MOST).  Recently, he has primarily worked with researchers examining the effects of interventions on maternal mental health and child health and development.  His research interests include the design of CRTs and analysis methods for clustered data, among many other interests.

Education
Master of Science (Sc.M.) in Biostatistics. Johns Hopkins Bloomberg School of Public Health               
Bachelor of Science (B.S.) in Mathematics: Southern Utah University

Links:
LinkedIn Profile: https://www.linkedin.com/in/john-gallis-2258b843/
Duke website: https://sites.duke.edu/johngallis/

Current Appointments & Affiliations


Recent Publications


Long-term mortality outcome of a primary care-based mobile health intervention for stroke management: Six-year follow-up of a cluster-randomized controlled trial.

Journal Article PLoS Med · March 2025 BACKGROUND: Despite growing evidence of primary care-based interventions for chronic disease management in resource-limited settings, long-term post-trial effects remain inconclusive. We investigated the association of a 12-month system-integrated technolo ... Full text Link to item Cite

Electronic Clinical Decision Support Tools: Strategies to Improve the Management of Lower Respiratory Tract Infections in Low-Resource Settings.

Journal Article Am J Trop Med Hyg · December 4, 2024 Lower respiratory tract infection (LRTI) is a common reason for hospitalization and antibacterial use globally. There is considerable overlap in the clinical presentation of bacterial and viral LRTIs. Low- or middle-income countries (LMICs) face the dual c ... Full text Link to item Cite

Primary Care-Based Digital Health-Enabled Stroke Management Intervention: Long-Term Follow-Up of a Cluster Randomized Clinical Trial.

Journal Article JAMA network open · December 2024 ImportanceDespite evidence of the short-term benefits of multicomponent primary care-based interventions, their long-term effects are unproven.ObjectiveTo evaluate the long-term outcomes of a system-integrated technology-enabled model of ... Full text Cite
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