Analysis of clinical trial registry entry histories using the novel R package cthist.

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 t...

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Main Author: Benjamin Gregory Carlisle
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0270909
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author Benjamin Gregory Carlisle
author_facet Benjamin Gregory Carlisle
author_sort Benjamin Gregory Carlisle
collection DOAJ
description 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.
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spelling doaj.art-6ece018514974aee8a340c66a83ba72b2022-12-22T00:58:44ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01177e027090910.1371/journal.pone.0270909Analysis of clinical trial registry entry histories using the novel R package cthist.Benjamin Gregory CarlisleHistorical 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.https://doi.org/10.1371/journal.pone.0270909
spellingShingle Benjamin Gregory Carlisle
Analysis of clinical trial registry entry histories using the novel R package cthist.
PLoS ONE
title Analysis of clinical trial registry entry histories using the novel R package cthist.
title_full Analysis of clinical trial registry entry histories using the novel R package cthist.
title_fullStr Analysis of clinical trial registry entry histories using the novel R package cthist.
title_full_unstemmed Analysis of clinical trial registry entry histories using the novel R package cthist.
title_short Analysis of clinical trial registry entry histories using the novel R package cthist.
title_sort analysis of clinical trial registry entry histories using the novel r package cthist
url https://doi.org/10.1371/journal.pone.0270909
work_keys_str_mv AT benjamingregorycarlisle analysisofclinicaltrialregistryentryhistoriesusingthenovelrpackagecthist