Understanding the Time Course of Interventions with Continuous Time Dynamic Models

Charles C. Driver () and Manuel C. Voelkle ()
Additional contact information
Charles C. Driver: Centre for Lifespan Psychology, Max Planck Institute for Human Development
Manuel C. Voelkle: Humboldt-Universität zu Berlin, Department of Psychology

Chapter Chapter 4 in Continuous Time Modeling in the Behavioral and Related Sciences, 2018, pp 79-109 from Springer

Abstract: 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.

Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-77219-6_4

Ordering information: This item can be ordered from
http://www.springer.com/9783319772196

DOI: 10.1007/978-3-319-77219-6_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().