I am large, I contain multitudes.
Inspired by the intra-individual or within-individual approaches of n-of-1 trials, single-case experimental designs, and single-subject research, 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 techniques for studying a single individual’s recurring trends. This unified field we call esametry sits at the center of collective digital WISDOM. Visit our About page to learn more.
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.
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.
- twitter.com/statsof1 (updated regularly)