Send to:

Choose Destination
See comment in PubMed Commons below
Behav Ther. 2014 Jan;45(1):126-36. doi: 10.1016/j.beth.2013.05.001. Epub 2013 May 16.

A probabilistic and individualized approach for predicting treatment gains: an extension and application to anxiety disordered youth.

Author information

  • 1University of Pennsylvania, School of Medicine. Electronic address:
  • 2University of Pittsburgh, School of Medicine.
  • 3Temple University.
  • 4Columbia University.
  • 5UCLA.
  • 6Duke Child and Family Study Center.
  • 7Cornell University.
  • 8Johns Hopkins University.
  • 9National Institute of Mental Health.


The objective of this study was to extend the probability of treatment benefit method by adding treatment condition as a stratifying variable, and illustrate this extension of the methodology using the Child and Adolescent Anxiety Multimodal Study data. The probability of treatment benefit method produces a simple and practical way to predict individualized treatment benefit based on pretreatment patient characteristics. Two pretreatment patient characteristics were selected in the production of the probability of treatment benefit charts: baseline anxiety severity, measured by the Pediatric Anxiety Rating Scale, and treatment condition (cognitive-behavioral therapy, sertraline, their combination, and placebo). We produced two charts as exemplars which provide individualized and probabilistic information for treatment response and outcome to treatments for child anxiety. We discuss the implications of the use of the probability of treatment benefit method, particularly with regard to patient-centered outcomes and individualized decision-making in psychology and psychiatry.

Copyright © 2013. Published by Elsevier Ltd.


child/adolescent anxiety; evidence-based treatment; individualized treatment benefit; patient-centered decision-making; treatment response and outcome

[PubMed - indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science Icon for PubMed Central
    Loading ...
    Write to the Help Desk