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ARIMA procedures in single subject research: An evolution of best practices in statistical methodology

Strom, Kaye and Boutsen, Frank
ARIMA procedures in single subject research: An evolution of best practices in statistical methodology. In Clinical Aphasiology Conference: Clinical Aphasiology Conference (2009 : 39th : Keystone, CO : May 26-30, 2009) / : (2009).

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Abstract

An evolution can be traced in the methods of statistical analysis for single-subject design. Most recently, the autoregressive integrated moving averages or ARIMA has been introduced as a technique that is superior to the d-statistic, C-statistic, and ITSACORR (interrupted time-series analysis) not only because of reduced Type 1 error but also because of its forecasting capability. This tutorial describes the technique and the benefits of the ARIMA method to analyze single-subject time series studies to estimate treatment progress as well as effects of extended treatment through forecasting capabilities.

EPrint Type:Clinical Aphasiology Paper
Subjects:UNSPECIFIED
ID Code:2091
Conference:Clinical Aphasiology Conference: Clinical Aphasiology Conference (2009 : 39th : Keystone, CO : May 26-30, 2009)
Additional Information:USED WITH PERMISSION.