Editorial provides guidance on conducting and reporting secondary analyses using open health datasets, implying improved quality in health research.
Large open health datasets present unique opportunities for studies that when well-designed, conducted, and reported, can offer valuable contributions to health and medicine. However, recent years have seen a concerning proliferation of analyses lacking robust or novel findings. In this Editorial, we provide guidance to authors for conducting and reporting high-quality secondary analyses using these datasets.
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Bruijn et al. (2025) studied this question.
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