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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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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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. |
first_indexed | 2024-12-11T16:25:30Z |
format | Article |
id | doaj.art-6ece018514974aee8a340c66a83ba72b |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-12-11T16:25:30Z |
publishDate | 2022-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
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 |