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Understanding the Time Course of Interventions with Continuous Time Dynamic Models

In: Continuous Time Modeling in the Behavioral and Related Sciences

Author

Listed:
  • Charles C. Driver

    (Centre for Lifespan Psychology, Max Planck Institute for Human Development)

  • Manuel C. Voelkle

    (Humboldt-Universität zu Berlin, Department of Psychology)

Abstract

How long does a treatment take to reach maximum effect? Is the effect maintained or does it dissipate or perhaps even reverse? Do certain sorts of people respond faster or stronger than others? Is the treatment more effective in the long run for those that respond quickly? We describe a continuous time dynamic modelling approach for addressing such questions, with discussion and example code for simple impulse effects, persistent changes in level, treatments where the effect may reverse in direction over time, treatments that change a trend, assessing mediation in treatment effects and examining individual differences in treatment effects, duration and shape and correlates of such individual differences.

Suggested Citation

  • Charles C. Driver & Manuel C. Voelkle, 2018. "Understanding the Time Course of Interventions with Continuous Time Dynamic Models," Springer Books, in: Kees van Montfort & Johan H. L. Oud & Manuel C. Voelkle (ed.), Continuous Time Modeling in the Behavioral and Related Sciences, chapter 0, pages 79-109, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-77219-6_4
    DOI: 10.1007/978-3-319-77219-6_4
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