Longitudinal Uses of the Population Assessment of Tobacco and Health Study.
longitudinal study
nonresponse bias
response rates
survey data
survey weights
Journal
Tobacco regulatory science
ISSN: 2333-9748
Titre abrégé: Tob Regul Sci
Pays: United States
ID NLM: 101655763
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
entrez:
16
4
2021
pubmed:
17
4
2021
medline:
17
4
2021
Statut:
ppublish
Résumé
The Population Assessment of Tobacco and Health (PATH) Study is a nationally representative study of the US population on tobacco use and its effects on health, with 3 waves of data collection between 2013 and 2016. Prior work described the methods of the first wave. In this paper, we describe the methods of the subsequent 2 waves and provide recommendations for how to conduct longitudinal analyses of PATH Study data. We use standard survey quality metrics to evaluate the results of the follow-up waves of the PATH Study. The recommendations and examples of longitudinal and cross-sectional analyses of PATH Study data follow a design-based statistical inference framework. The quality metrics indicate that the PATH Study sample of approximately 40,000 continuing respondents remains representative of its target population. Depending on the intended analysis, different survey weights may be appropriate. The PATH Study data are a valuable resource for regulatory scientists interested in longitudinal analysis of tobacco use and its effects on health. The availability of multiple sets of specialized survey weights enables researchers to target a wide range of tobacco-related analytic questions.
Identifiants
pubmed: 33860066
doi: 10.18001/trs.7.1.1
pmc: PMC8046027
mid: NIHMS1666911
doi:
Types de publication
Journal Article
Langues
eng
Pagination
3-16Subventions
Organisme : NIDA NIH HHS
ID : HHSN271201600001C
Pays : United States
Déclaration de conflit d'intérêts
Conflict of Interest Disclosure Statement The authors have no conflicts of interest, financial or otherwise.
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