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. Building on his work at Stanford University, Dr. Eric J. Daza founded Stats-of-1 in 2020. 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, personalized artificial intelligence (AI) approaches like person-specific fine-tuning or RAG, and patient-centered approaches in defining the outcomes and endpoints of clinical trials and studies.

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.

The views and opinions expressed in this newsletter, including all blog posts and podcast episodes, are solely those of the editors, blog post authors, and podcast guests and hosts. These views and opinions do not reflect the views and opinions of the employers, companies, institutions, or affiliates of any of the aforementioned individuals.