This paper is in the following e-collection/theme issue:

Secondary Use of Clinical Data for Research and Surveillance (368) New Methods (946) Clinical Informatics (1028) Data Science (271) Digital Health Reporting Standards, Quality and Transparency in e-Research (71) Innovations in Clinical Trials and Research Data Management (83) New Methods (946) Innovations in Clinical Trials and Research Data Management (83) Data Science (271) Digital Health Reporting Standards, Quality and Transparency in e-Research (71) Clinical Informatics (1028)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46725, first published .
A Pragmatic Method to Integrate Data From Preexisting Cohort Studies Using the Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model: Case Study

A Pragmatic Method to Integrate Data From Preexisting Cohort Studies Using the Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model: Case Study

A Pragmatic Method to Integrate Data From Preexisting Cohort Studies Using the Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model: Case Study

Authors of this article:

Keiichi Matsuzaki1 Author Orcid Image ;   Megumi Kitayama2 Author Orcid Image ;   Keiichi Yamamoto3 Author Orcid Image ;   Rei Aida4 Author Orcid Image ;   Takumi Imai5 Author Orcid Image ;   Mami Ishida6 Author Orcid Image ;   Ritsuko Katafuchi7, 8 Author Orcid Image ;   Tetsuya Kawamura9 Author Orcid Image ;   Takashi Yokoo9 Author Orcid Image ;   Ichiei Narita10 Author Orcid Image ;   Yusuke Suzuki11 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Pigeot I, Ahrens W, Darms J, Fluck J, Golebiewski M, Hahn H, Hu X, Intemann T, Kasbohm E, Kirsten T, Klammt S, Klopfenstein S, Lassen-Schmidt B, Peters M, Sax U, Waltemath D, Schmidt C. Making Epidemiological and Clinical Studies FAIR Using the Example of COVID-19. Datenbank-Spektrum 2024;24(2):117 View