Supplemental Figure 1 from Validating Wave 1 (2014) urinary cotinine and TNE-2 cut-points for differentiating Wave 4 (2017) cigarette use from non-use in the US using data from the PATH Study. Article Swipe

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Kathryn C. Edwards , Asia Khan , Eva Sharma , Lanqing Wang , June Feng , Benjamin C. Blount , Connie S. Sosnoff , Danielle M. Smith , Maciej Ł. Goniewicz , Jennifer Pearson , Andrea C. Villanti , Cristine D. Delnevo , Michelle T. Bover Manderski , Dorothy K. Hatsukami , Raymond Niaura , Colm Everard , Heather L. Kimmel , Kara Duffy , Brian L. Rostron , Arseima Y. Del Valle-Pinero , Dana M. van Bemmel , Cassandra A. Stanton , Andrew Hyland ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1158/1055-9965.27029737

Supplemental Figure 1 shows the analytic sample flow chart.

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Cotinine Statistics Medicine Nicotine Mathematics Internal medicine

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1158/1055-9965.27029737
OA Status: gold
Related Works: 10
OpenAlex ID: https://openalex.org/W4402818773

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DOI: https://doi.org/10.1158/1055-9965.27029737

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Title: Supplemental Figure 1 from Validating Wave 1 (2014) urinary cotinine and TNE-2 cut-points for differentiating Wave 4 (2017) cigarette use from non-use in the US using data from the PATH Study.

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Type: preprint

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Language: en

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Publication year: 2024

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Publication date: 2024-09-16

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Authors: Kathryn C. Edwards, Asia Khan, Eva Sharma, Lanqing Wang, June Feng, Benjamin C. Blount, Connie S. Sosnoff, Danielle M. Smith, Maciej Ł. Goniewicz, Jennifer Pearson, Andrea C. Villanti, Cristine D. Delnevo, Michelle T. Bover Manderski, Dorothy K. Hatsukami, Raymond Niaura, Colm Everard, Heather L. Kimmel, Kara Duffy, Brian L. Rostron, Arseima Y. Del Valle-Pinero, Dana M. van Bemmel, Cassandra A. Stanton, Andrew Hyland

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Landing page: https://doi.org/10.1158/1055-9965.27029737

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Open access: Yes

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OA status: gold

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OA URL: https://doi.org/10.1158/1055-9965.27029737

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Concepts: Cotinine, Statistics, Medicine, Nicotine, Mathematics, Internal medicine

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Cited by: 0

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Related works (count): 10

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