Podium · 2A-02
Get matched with a scientist who can answer your specific questions.
Whether you're weighing study designs, pressure-testing an approach, going deep on a therapeutic area, or exploring how a standing cohort could fit your evidence plan, a short meeting puts you across the table from the scientist doing that exact work.
And there's plenty on the table: multiple accepted presentations across pharmacoepidemiology, real-world methods, and therapeutic-area evidence, plus a live obesity evidence atlas running at the booth. Your meeting comes with an early look at all of it.
Tell us your question and your rough availability. We'll match you with the right scientist, confirm your slot, and send a calendar hold.
Where:
When:
Our science:
The sessions our experts are leading in Milan
Poster · B-284
Effect of varying pre-interruption periods on interrupted time series estimates and interpretation: a simulation study
Poster · C-123
Regional and variant-era variation in treatment patterns and remdesivir use among immunocompromised patients hospitalized with COVID-19: an analysis of polypharmacy using UpSet plots
Poster · C-350
Standard error estimation for transported effects in sequential nested trial emulations using M-estimation
Poster · C-439
Estimating recurrent complication burden under time-varying risk: a comparison of Poisson regression and the partitioned count estimator
Workshop · SW-2G
Fake world data, real world problems: simulations for the pharmacoepidemiologist
Schedule a meeting
Share your focus and a preferred day or time in the comments, and we will confirm a slot.
Pedestal Health projects leverage Headwater Science methods, technology and causal inference expertise where the analytical complexity is highest, comparative effectiveness studies that require dynamic treatment design, regulatory-grade external control work, methodological consultation on submission packages, and the kinds of bias-protection frameworks that consequential evidence increasingly requires.
Pedestal Health projects leverage Headwater Science methods, technology and causal inference expertise where the analytical complexity is highest, comparative effectiveness studies that require dynamic treatment design, regulatory-grade external control work, methodological consultation on submission packages, and the kinds of bias-protection frameworks that consequential evidence increasingly requires.