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, 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.
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