Online Program Home
My Program

Abstract Details

Activity Number: 338 - SPEED: Biostatistical Methods, Application, and Education, Part 1
Type: Contributed
Date/Time: Tuesday, July 30, 2019 : 10:30 AM to 12:20 PM
Sponsor: Mental Health Statistics Section
Abstract #307323
Title: Sample Size Calculations in Single-Case Designs
Author(s): Jiabei Yang* and Christopher Schmid and Jon Steingrimsson
Companies: Brown School of Public Health and Brown University and Brown University
Keywords: Personalized medicine; N-of-1 trials; Fixed-effects analysis; Random-effects analysis; Power; Precision

Randomized controlled trials are the gold standard for estimating average treatment effects in a population, but are less effective in describing treatment effect heterogeneity. Single-case designs, trials carried out in individuals, are able to estimate efficacy for individuals directly; combining single-case studies increases precision for individual as well as population average treatment effects. We derive sample size formulae according to whether the scientific interest lies in individual-specific or population average treatment effect under both fixed- and random-effects analysis, assuming various randomization schemes and correlation structure among measurements taken on individual patients. We present figures to inform designs balancing the relative effects of: 1) number of crossover periods and number of measurements taken per period in individual trials and 2) number of individuals and number of measurements per individual in a series of N-of-1 trials.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2019 program