Time Series Data Analysis of Single Subject Experimental Designs Using Bayesian Estimation
Description:
This study presents a set of data analysis approaches for single subject designs (SSDs). The primary purpose is to establish a series of statistical models to supplement visual analysis in single subject research using Bayesian estimation. Linear modeling approach has been used to study level and trend changes. I propose an alternate approach that treats the phase change-point between the baseline and intervention conditions as an unknown parameter. Similar to some existing approaches, the mode…
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Date:
August 2015
Creator:
Aerts, Xing Qin
Partner:
UNT Libraries