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Statistical Rigor
Your analyses are built on our peer-reviewed publications. The harsh reality of SAE in data sparse situations is that there will often be large uncertainty in area-specific prevalences, and we take great care to accutrately characterize that uncertainty.
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Accessible Hands-On Analysis
The sae4health R Shiny app transforms complex statistical analysis into an accessible, user-friendly experience. No prior programming or deep statistical knowledge needed. Detailed documentations, step-by-step tutorials and an intuitive interface guide users through the entire analytical process.
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Creative Data Visualization
Our surveyPrev R package and the sae4health app offer powerful visualization tools that turn data into actionable insights. Explore and interpret subnational variations through interactive maps and charts.
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Collaborative and Evolving Ecosystem
Our platform enables a dynamic and collaborative ecosystem, with educational sessions, partnerships across global agencies and country teams. It has been featured in WHO-led workshops and other technical settings, evolving through user feedback and continuous updates.