Do you work on statistical methods for personalized digital health or anaylzing recurring trends in a single individual?
If so, we'd love to hear from you! Please send us a short summary of your idea online or by email here. We'll then follow up with you, to see if we can help publicize your work as part of the Stats-of-1 research community. Salamat!
I am large, I contain multitudes.
Stats-of-1 is a blog on a mission to improve personalized digital health. Inspired by n-of-1 studies, we are building a community of statistics-savvy pioneers who use modern tools of digital health (e.g., wearables, sensors) to create or adapt statistical design and analysis techniques for studying a single individual's recurring trends. We call the theory and application of these techniques esametry. Learn more about our Theme and Mission at our About page.
An example of an esametric plot called a pancit plot—a “longitudinal” graph of a single person's outcome trajectories per exposure period, drawn by overlaying each per-period trajectory over all periods of measurement (Daza, 2019; Daza, Wac, and Oppezzo, 2020). (Think of one long, meandering noodle, that is then chopped up and layered.) This plot of different outcome trajectories under different exposures is directly analogous to a spaghetti plot of different individuals under different exposures in a longitudinal study.
- twitter.com/statsof1 (updated regularly)