Continuous-Time System Identification of a Smoking Cessation Intervention
Cigarette smoking is a major global public health issue and the leading cause of preventable death in the United States. Toward a goal of designing better smoking cessation treatments, system identification techniques are applied to intervention data to describe smoking cessation as a process of beh...
| Veröffentlicht in: | International journal of control. - 1997. - 87(2014), 7 vom: 01., Seite 1423-1437 |
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| Format: | Aufsatz |
| Sprache: | English |
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2014
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| Zugriff auf das übergeordnete Werk: | International journal of control |
| Schlagworte: | Journal Article behavioral science continuous-time identification self-regulation smoking cessation statistical mediation |
| Zusammenfassung: | Cigarette smoking is a major global public health issue and the leading cause of preventable death in the United States. Toward a goal of designing better smoking cessation treatments, system identification techniques are applied to intervention data to describe smoking cessation as a process of behavior change. System identification problems that draw from two modeling paradigms in quantitative psychology (statistical mediation and self-regulation) are considered, consisting of a series of continuous-time estimation problems. A continuous-time dynamic modeling approach is employed to describe the response of craving and smoking rates during a quit attempt, as captured in data from a smoking cessation clinical trial. The use of continuous-time models provide benefits of parsimony, ease of interpretation, and the opportunity to work with uneven or missing data |
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| Beschreibung: | Date Revised 18.09.2024 published: Print Citation Status PubMed-not-MEDLINE |
| ISSN: | 0020-7179 |