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Pivot the RCT—one participant at a time.

Stats-of-1 is a newsletter 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. Forbes, Fortune, and the American Statistical Association have recognized our work to innovate healthcare.

We promote the expanded use of individual-focused, single-person or single-unit analytics: quantitative idiography (QI) statistical designs and methods 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 QI approaches comprise the field of esametry (Daza, Schneider, and Matias 2022)(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.