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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249399/ https://www.ncbi.nlm.nih.gov/pubmed/35776915 http://dx.doi.org/10.1371/journal.pone.0270909 |
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author | Carlisle, Benjamin Gregory |
author_facet | Carlisle, Benjamin Gregory |
author_sort | Carlisle, Benjamin Gregory |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9249399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-92493992022-07-02 Analysis of clinical trial registry entry histories using the novel R package cthist Carlisle, Benjamin Gregory PLoS One Research Article 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. Public Library of Science 2022-07-01 /pmc/articles/PMC9249399/ /pubmed/35776915 http://dx.doi.org/10.1371/journal.pone.0270909 Text en © 2022 Benjamin Gregory Carlisle https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Carlisle, Benjamin Gregory Analysis of clinical trial registry entry histories using the novel R package cthist |
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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249399/ https://www.ncbi.nlm.nih.gov/pubmed/35776915 http://dx.doi.org/10.1371/journal.pone.0270909 |
work_keys_str_mv | AT carlislebenjamingregory analysisofclinicaltrialregistryentryhistoriesusingthenovelrpackagecthist |