Improving Data Integrity in Samples Obtained From Web-Based Recruitment: Protocol for the Development of a Novel System for Assessing Participant Authenticity in a Remote Longitudinal Cohort Study of Polysubstance Use
Authors
Chavez R Rodriguez (ORCID: https://orcid.org/0000-0003-1110-5863)
Jason E. Goldstick (ORCID: https://orcid.org/0000-0002-7599-2214)
Lewei Lin (ORCID: https://orcid.org/0000-0003-2765-7814)
Lara N. Coughlin (ORCID: https://orcid.org/0000-0001-6234-0850)
Erin E. Bonar (ORCID: https://orcid.org/0000-0001-8849-4196)
Maureen A. Walton (ORCID: https://orcid.org/0000-0001-6547-0204)
Improving Data Integrity in Samples Obtained From Web-Based Recruitment: Protocol for the Development of a Novel System for Assessing Participant Authenticity in a Remote Longitudinal Cohort Study of Polysubstance Use
Chavez R Rodriguez, Jason E. Goldstick, Lewei Lin, Lara N. Coughlin et al.
Citations
1 citations
Journal
JMIR Research Protocols
Topics
Privacy, Security, and Data Protection
Field-Weighted Citation Impact (FWCI)
4.20
article
Improving Data Integrity in Samples Obtained From Web-Based Recruitment: Protocol for the Development of a Novel System for Assessing Participant Authenticity in a Remote Longitudinal Cohort Study of Polysubstance Use
Chavez R Rodriguez, Jason E. Goldstick, Lewei Lin, Lara N. Coughlin, Erin E. Bonar, Maureen A. Walton, Maya Campbell
article en
1 citations
Abstract
No abstract available for this paper.
Publication Tag
JMIR Research ProtocolsVol. 14
Institutions
University of Michigan (US), VA Ann Arbor Healthcare System (US), Michigan Medicine (US)