Ontology highlight
ABSTRACT:
SUBMITTER: Drukker M
PROVIDER: S-EPMC8317224 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Drukker Marjan M Weltens Irene I van Hooijdonk Carmen F M CFM Vandenberk Emma E Bak Maarten M
Frontiers in research metrics and analytics 20210714
<b>Background:</b> Existing study quality and risk of bias lists for observational studies have important disadvantages. For this reason, a comprehensive widely applicable quality assessment tool for observational studies was developed. <b>Methods:</b> Criteria from three quality lists were merged into a new quality assessment tool: the observational study quality evaluation (OSQE). OSQE consists of a cohort, case-control, and cross-sectional version. <b>Results:</b> The OSQE cohort, the OSQE ca ...[more]