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Aggregated N-of-1 randomized controlled trials: modern data analytics applied to a clinically valid method of intervention effectiveness
Journal article   Open access   Peer reviewed

Aggregated N-of-1 randomized controlled trials: modern data analytics applied to a clinically valid method of intervention effectiveness

Christopher C Cushing, Ryan W Walters and Lesa Hoffman
Journal of pediatric psychology, Vol.39(2), pp.138-150
03/2014
DOI: 10.1093/jpepsy/jst083
PMID: 24284134
url
https://doi.org/10.1093/jpepsy/jst083View
Published (Version of record) Open Access

Abstract

Aggregated N-of-1 randomized controlled trials (RCTs) combined with multilevel modeling represent a methodological advancement that may help bridge science and practice in pediatric psychology. The purpose of this article is to offer a primer for pediatric psychologists interested in conducting aggregated N-of-1 RCTs. An overview of N-of-1 RCT methodology is provided and 2 simulated data sets are analyzed to demonstrate the clinical and research potential of the methodology. The simulated data example demonstrates the utility of aggregated N-of-1 RCTs for understanding the clinical impact of an intervention for a given individual and the modeling of covariates to explain why an intervention worked for one patient and not another. Aggregated N-of-1 RCTs hold potential for improving the science and practice of pediatric psychology.
Models, Psychological Outcome Assessment (Health Care) Research Design Computer Simulation Humans Randomized Controlled Trials as Topic

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