dc.contributor.author
Carlisle, Benjamin Gregory
dc.date.accessioned
2023-01-24T10:30:45Z
dc.date.available
2023-01-24T10:30:45Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/37733
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-37448
dc.description.abstract
Historical clinical trial registry data can only be retrieved by manually accessing individual clinical trials through registry websites. This limits the feasibility, accuracy and reproducibility of certain kinds of research on clinical trial activity and presents challenges to the transparency of the enterprise of human research. This paper presents cthist, a novel, free and open source R package that enables automated scraping of clinical trial registry entry histories and returns structured data for analysis. Documentation of the implementation of the package cthist is provided, as well as 3 brief case studies with example code.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
documentation
en
dc.subject
data collection
en
dc.subject
R package cthist
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Analysis of clinical trial registry entry histories using the novel R package cthist
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
e0270909
dcterms.bibliographicCitation.doi
10.1371/journal.pone.0270909
dcterms.bibliographicCitation.journaltitle
PLOS ONE
dcterms.bibliographicCitation.number
7
dcterms.bibliographicCitation.originalpublishername
Public Library of Science (PLoS)
dcterms.bibliographicCitation.volume
17
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
35776915
dcterms.isPartOf.eissn
1932-6203
