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, Lesa Hoffman

Research output: Contribution to journalArticle

20 Scopus citations


Objective 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. Methods 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. Results 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. Conclusions Aggregated N-of-1 RCTs hold potential for improving the science and practice of pediatric psychology.

Original languageEnglish (US)
Pages (from-to)138-150
Number of pages13
JournalJournal of pediatric psychology
Issue number2
Publication statusPublished - Mar 1 2014



  • data simulation
  • methodology
  • multilevel modeling

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Developmental and Educational Psychology

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