Classification Accuracy of Biomarkers of Compliance.
Objectives: In this study, we evaluated the classification accuracy of biomarkers of nicotine exposure for identifying noncompliance in randomized controlled trials (RCTs) of very low nicotine content (VLNC) cigarettes. Methods: We combined data from 2 studies to evaluate the classification accuracy...
| Publicado en: | American Journal of Health Behavior Vol. 43; no. 3; pp. 301 - 320 |
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| Autores principales: | , , , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
PNG Publications
May/Jun2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136145995&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136145995 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10873244 8GA jtl: American Journal of Health Behavior issn: 10873244 maglogo: N pubinfo: dt: May/Jun2019 vid: 43 iid: 3 pid: 8968 pub: PNG Publications place: Oak Ridge, North Carolina artinfo: ui: 136145995 136145995 136145995 10.18001/TRS.5.3.8 136145995 ppf: 301 ppct: 19 formats: fmt: @attributes: type: P tig: atl: Classification Accuracy of Biomarkers of Compliance. aug: au: Boatman, Jeffrey A. Casty, Katherine Vock, David M. Murphy, Sharon E. Denlinger-Apte, Rachel Hatsukami, Dorothy K. Donny, Eric C. Koopmeiners, Joseph S. affil: Associate, Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN sug: subj: Biological Markers Classification Nicotine Tobacco Products Validity Randomized Controlled Trials Patient Compliance Human Models, Theoretical Cotinine Pyridines Self Report ROC Curve Confidence Intervals Descriptive Statistics Nonparametric Statistics ab: Objectives: In this study, we evaluated the classification accuracy of biomarkers of nicotine exposure for identifying noncompliance in randomized controlled trials (RCTs) of very low nicotine content (VLNC) cigarettes. Methods: We combined data from 2 studies to evaluate the classification accuracy of biomarkers of nicotine exposure for identifying noncompliance in RCTs of VLNC cigarettes. Using a novel approach that did not require knowledge of each participant's compliance status, we modeled the distributions of total nicotine equivalents (TNE), total cotinine, and anatabine in compliant and noncompliant participants using a mixture model. Estimates of the classification accuracy were derived from the estimated densities. Results: TNE and total cotinine had near-perfect classification accuracy, but TNE had better classification accuracy than total cotinine (p = .03) and anatabine (p = .014). The classification accuracy of TNE and total cotinine decreased as self-reported study cigarettes increased; anatabine was similar, but the results were more statistically variable. Conclusions: TNE and total cotinine are better classifiers of compliance than anatabine. These results will be useful in determining biomarker thresholds for identifying noncompliance and will aid in the interpretation of future RCTs of VLNC cigarettes. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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