TY - GEN
T1 - System identification modeling of a smoking cessation intervention
AU - Timms, Kevin P.
AU - Rivera, Daniel E.
AU - Collins, Linda M.
AU - Piper, Megan E.
N1 - Funding Information:
smoking cessation, conducted at the University of Wisconsin Center for Tobacco Research and Intervention (UW-CTRI) and funded by the Transdisciplinary Tobacco Use Research Centers (TTURC), is outlined [McCarthy et al., 2008b]. Next, the process of smoking cessation is described in terms of two system identification problems: models for classic mediation are applied to ILD, followed by development and examination of a feedback model. Finally, conclusions and recommendations are briefly presented.
Funding Information:
★ Support for this work has been provided by the Office of Behavioral and Social Sciences Research (OBSSR) of the National Institutes of Health and the National Institute on Drug Abuse (NIDA) through grants K25 DA021173, R21 DA024266, and P50 DA10075.
PY - 2012
Y1 - 2012
N2 - This paper examines the use of system identification to describe time-varying phenomena in a smoking cessation intervention. The analysis is facilitated by the availability of intensive longitudinal data that enables the application of system identification techniques. Two model structures are considered; one involves the concept of statistical mediation, while the other describes a feedback mechanism. In fitting these models to intensive longitudinal data from a University of Wisconsin clinical trial that studied bupropion and counseling as smoking cessation aids, we focus on the relationship between craving and smoking. Here, we find craving features inverse response and smoking behavior features a dramatic reduction on the quit date, followed by a resumption in smoking. Analyzing the resulting models, we find that they differ in how they describe smoking resumption, and the case is made that the feedback mechanism more appropriately describes the relationship between craving and smoking.
AB - This paper examines the use of system identification to describe time-varying phenomena in a smoking cessation intervention. The analysis is facilitated by the availability of intensive longitudinal data that enables the application of system identification techniques. Two model structures are considered; one involves the concept of statistical mediation, while the other describes a feedback mechanism. In fitting these models to intensive longitudinal data from a University of Wisconsin clinical trial that studied bupropion and counseling as smoking cessation aids, we focus on the relationship between craving and smoking. Here, we find craving features inverse response and smoking behavior features a dramatic reduction on the quit date, followed by a resumption in smoking. Analyzing the resulting models, we find that they differ in how they describe smoking resumption, and the case is made that the feedback mechanism more appropriately describes the relationship between craving and smoking.
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U2 - 10.3182/20120711-3-BE-2027.00205
DO - 10.3182/20120711-3-BE-2027.00205
M3 - Conference contribution
AN - SCOPUS:84867044031
SN - 9783902823069
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 786
EP - 791
BT - SYSID 2012 - 16th IFAC Symposium on System Identification, Final Program
PB - IFAC Secretariat
T2 - Universite Libre de Bruxelles
Y2 - 11 July 2012 through 13 July 2012
ER -