title: Aggregated N-of-1 randomized controlled trials: modern data analytics applied to a clinically valid method of intervention effectiveness.
abstract: 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.
authors.affiliation: PhD, Department of Psychology, Oklahoma State University, 116 North Murray, Stillwater, OK 74078, USA. christopher.cushing@okstate.edu.
authors.forename: Christopher C
authors.initials: CC
authors.lastname: Cushing
authors.forename: Ryan W
authors.initials: RW
authors.lastname: Walters
authors.forename: Lesa
authors.initials: L
authors.lastname: Hoffman
mesh_terms: D003198:Computer Simulation; D006801:Humans; D008960:Models, Psychological; D017063:Outcome Assessment, Health Care; D016032:Randomized Controlled Trials as Topic; D012107:Research Design
keywords: data simulation; methodology; multilevel modeling