Stats-of-1

Pivot the RCT—one participant at a time.

Stats-of-1 is a newsletter and podcast that seeks to improve personalized health by discovering true insights about you—a statistical “population-of-one” (Daza, 2018)—and which of your habits are worth changing. Founded in 2020 by Dr. Eric J. Daza, we have since been recognized as health innovators by Forbes Magazine, Fortune Magazine, and the American Statistical Association.

We promote the expanded use of individual-focused, single-person or single-unit analytics in health and medicine. This includes the multivariate time series settings of n-of-1 trials, single-case designs and single-subject research, switchback experiments, and personalized artificial intelligence (AI) approaches like person-specific fine-tuning or RAG.

Together, these quantitative idiographic approaches comprise the field of esametry (Daza, Matias, and Schneider, 2024), derived from “isa”, pronounced “ee-SA"—the Tagalog Filipino word for “one”. Visit our About page to learn more.

The pancit plot (Daza, 2019; Daza, Wac, and Oppezzo, 2020) above (pronounced “pun-SEAT") is an example of an esametric plot. It is 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. It can aid within-person functional data analysis.