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I am large, I contain multitudes.
— Walt Whitman

But what is contemporary technology if not a mechanism for the containment of multitudes?
— Taylor Fang


A self that goes on changing is a self that goes on living.\
— Virginia Woolf

Even if one is a single-case researcher, it shouldn’t imply that one is a lonely researcher.
— Patrick Onghena

Stats-of-1 is a newsletter that seeks to improve personalized health by promoting the expanded use of individual-focused, quantitative idiography (QI) statistical designs and methods in health and medicine. Collectively, these QI approaches define the field of esametry (derived from “isa”, the Tagalog Filipino word for “one”). 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 to study a single individual’s recurring trends. 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.

Check out many more esametric plots at Quantified Self.

Kumusta!

  1. Do you work on statistical methods for personalized digital health or anaylze recurring trends in a single individual?
  2. Would you like to publicizing your ideas through a blog post or podcast episode to help spread the word about QI applications in health and medicine—and connect with your peers? (click here for examples)

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.

And do consider following us at twitter.com/statsof1—or subscribing to Stats-of-1 here—to get regular updates.

Salamat!

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