Prediction of dose-response relations based on patient characteristics

Wolfgang Lutz*, Jenny Lowry, S. Mark Kopta, Danielle A. Einstein, Kenneth I. Howard

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

83 Citations (Scopus)


The recent discussion of evidence-based, adaptive treatment planning highlights the need for models for the prediction of courses of treatment response. We combine a dose-response model with growth curve modeling to determine dose-response relations for well-being, symptoms, and functioning. Hierarchical linear modeling was used to model each patient's expected course of improvement. The resulting predictions were cross-validated on two samples of psychotherapy outpatients. The results give further empirical support for the dose-response model and the phase model of psychotherapy as well as for the usefulness of patient treatment response profiling for individual treatment management.

Original languageEnglish
Pages (from-to)889-900
Number of pages12
JournalJournal of Clinical Psychology
Issue number7
Publication statusPublished - 2001
Externally publishedYes


  • Dose-response relations
  • Growth curve models
  • Outcomes management
  • Patient-focused research


Dive into the research topics of 'Prediction of dose-response relations based on patient characteristics'. Together they form a unique fingerprint.

Cite this