The Duke Ph.D. in Population Health Sciences empowers scholars to integrate causal inference, implementation science, and policy economics. Candidates mine multi-state EHR clouds, design pragmatic trials in safety-net clinics, and evaluate payment reforms using synthetic controls. Communication residencies translate analytics into actionable briefs for CMS and WHO.
Difference-in-differences of Medicaid expansion on opioid deaths
AI triage model reducing ED crowding validated in pragmatic RCT
Geo-spatial equity audit of broadband telehealth readiness
Cost-utility analysis of community health-worker hypertension care
Blockchain registry for vaccine lot adverse-event tracing
Citizen-science noise-pollution mapping linked to sleep outcomes
VR training module for culturally competent telemedicine
Policy brief on value-based payment for mental-health services
Synthetic-control evaluation of soda taxes on BMI trends
Machine-learning forecast of NICU bed demand
Open-source dashboard for social-determinant referral networks
Serious game teaching clinicians about implicit-bias mitigation
Federated learning sepsis predictor across rural hospitals
Sentiment analysis of #MedTwitter on health-equity policies
Meta-analysis of climate-health links in urban heat islands
Transform big data into healthier communities with Duke’s PHS Ph.D.
Whether it's Machine Learning, Data Science, or Web Development, Collexa is here to support your academic journey.
"Collexa transformed my academic experience with their expert support and guidance."
Computer Science Student
Reach out to us for personalized academic assistance and take the next step towards success.
