Showing 2 of total 2 results (show query)
ropensci
medrxivr:Access and Search MedRxiv and BioRxiv Preprint Data
An increasingly important source of health-related bibliographic content are preprints - preliminary versions of research articles that have yet to undergo peer review. The two preprint repositories most relevant to health-related sciences are medRxiv <https://www.medrxiv.org/> and bioRxiv <https://www.biorxiv.org/>, both of which are operated by the Cold Spring Harbor Laboratory. 'medrxivr' provides programmatic access to the 'Cold Spring Harbour Laboratory (CSHL)' API <https://api.biorxiv.org/>, allowing users to easily download medRxiv and bioRxiv preprint metadata (e.g. title, abstract, publication date, author list, etc) into R. 'medrxivr' also provides functions to search the downloaded preprint records using regular expressions and Boolean logic, as well as helper functions that allow users to export their search results to a .BIB file for easy import to a reference manager and to download the full-text PDFs of preprints matching their search criteria.
Maintained by Yaoxiang Li. Last updated 1 months ago.
bibliographic-databasebiorxivevidence-synthesismedrxiv-datapeer-reviewedpreprint-recordssystematic-reviews
23.0 match 56 stars 7.17 score 44 scripts
mcguinlu
robvis:Visualize the Results of Risk-of-Bias (ROB) Assessments
Helps users in quickly visualizing risk-of-bias assessments performed as part of a systematic review. It allows users to create weighted bar-plots of the distribution of risk-of-bias judgments within each bias domain, in addition to traffic-light plots of the specific domain-level judgments for each study. The resulting figures are of publication quality and are formatted according the risk-of-bias assessment tool use to perform the assessments. Currently, the supported tools are ROB2.0 (for randomized controlled trials; Sterne et al (2019) <doi:10.1136/bmj.l4898>), ROBINS-I (for non-randomised studies of interventions; Sterne (2016) <doi:10.1136/bmj.i4919>), and Quality & Applicability of Diagnostic Accuracy Studies V2 (Whiting et al (2011) <doi:10.7326/0003-4819-155-8-201110180-00009>), and QUIPS (Hayden et al (2013) <doi:10.7326/0003-4819-158-4-201302190-00009>.
Maintained by Luke McGuinness. Last updated 2 years ago.
evidence-synthesisrisk-of-biassystematic-reviewsvisualisation
16.0 match 59 stars 7.99 score 67 scripts