Treatment Burst Data Points and Single Case Design Studies: A Bayesian N-of-1 Analysis for Estimating Treatment Effect Size

• Published in: Perspectives on behavior science Vol. 43; no. 2; pp. 285 - 301
• Main Authors: Barnard-Brak, Lucy, Richman, David M., Watkins, Laci
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.06.2020; Springer Nature B.V
• Subjects: Alzheimer's disease; Bayesian analysis; Behavioral Science and Psychology; Clinical outcomes; Clinical trials; Design; Estimates; Extinction; Original Research; Psychology; Statistical methods; Single-case experimental designs; Estimating effect size; Single subject; Overlapping treatment data points

Single-case experimental designs (SCED) evaluate treatment effects for each participant, but it is difficult to aggregate and quantify treatment effects across SCED participants receiving the same type of treatment. We applied Bayesian analytic procedures to SCED data aggregated across participants...