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 (cRCTs), 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 cRCTs 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 Duke Appointments & Affiliations
Recent Scholarly Works
Longitudinal maternal depression and child mental health from pregnancy to child age 7: a study of three life course frameworks.
Journal article Soc Psychiatry Psychiatr Epidemiol · May 5, 2026 PURPOSE: Maternal depression is associated with mental health difficulties in children, but it is unclear how the timing or duration of depressive symptoms impact child outcomes. This study tested three life course frameworks in the longitudinal associatio ... Full text Link to item CiteTREATment of Lower Respiratory Tract Infection in Selected Hospitals in Southern Sri Lanka (TREAT-SL): study protocol for a stepped-wedge, cluster-randomized clinical trial.
Journal article Trials · March 18, 2026 BACKGROUND: Lower respiratory tract infection (LRTI) is a leading cause of hospitalization and antibacterial use globally. In low- and middle-income countries (LMICs), limited diagnostic resources contribute to inappropriate antibacterial use for LRTI. The ... Full text Link to item CiteAssessing Electronic Health Record-Derived Outcomes in a Pragmatic Weight Gain Prevention Trial: Effects, Variability, and Implications for Future Trials.
Journal article The Journal of cardiovascular nursing · March 2026 BackgroundElectronic health record (EHR) outcome ascertainment may introduce challenges if measurements are inconsistently or infrequently captured.ObjectiveTo evaluate the effects of the "Balance" intervention on EHR-derived secondary/ex ... Full text CiteRecent Grants
Streamlining the Sauti ya Vijana (The Voice of Youth) intervention to support Tanzanian government scale-up and integration of mental health care into routine clinical care for youth living with HIV
ResearchBiostatistician · Awarded by National Institutes of Health · 2026 - 2031Promoting child respiratory health through novel psychosocial targets, an investigation of a maternal mental health intervention
ResearchBiostatistician · Awarded by University of North Carolina - Chapel Hill · 2025 - 2029mSaada: a mobile application to strengthen community-based cervical cancer screening
ResearchBiostatistician III · Awarded by National Cancer Institute · 2022 - 2027View All Grants