Dataset and code: Systematic review and meta-analysis of stroke blood biomarker data highlights need for more translational research methods.
收藏Figshare2026-02-13 更新2026-04-28 收录
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https://figshare.com/articles/dataset/_b_Dataset_and_code_b_b_Systematic_review_and_meta-analysis_of_stroke_blood_biomarker_data_identifies_need_for_more_translational_research_methods_b_b_b_/28243406
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This repository contains the raw data and essential code needed to replicate the analyses reported in “Systematic review and meta-analysis of stroke blood biomarker data highlights need for more translational research methods” by Smothers et al. The raw data aggregated from the primary literature are provided as a relational database comprised of multiple R data frames that can be downloaded as a single .RData file (relational_database.RData). A descriptive overview of both the data and the database structure is also provided (database_structure.pdf). The custom R script used to unify and model the raw diagnostic performance estimates reported in the primary literature is provided as a plain text file (unification_and_modeling.R), as is the custom R script used in simulation experiments carried out to characterize the potential sources and impact of ROC curve asymmetry on the accuracy of sAUC estimates (symmetry_tests.R). A descriptive overview of the code and how it can be run is also available (code_description.pdf).
创建时间:
2026-02-13



