Empirical research requires good data to complement statistical rigor in providing answers to global poverty questions. Poor data quality can lead to biases in causal inference, lower the probability ...
Background Data-sharing mandates from funders and journals have increased in recent years, but little is known about how shared data are used. Existing research has focused on access frameworks, with ...
Presenters from CMS and the CDC explored the importance of standardizing health equity data collection at the 2024 CMS Health Equity Conference. Meagan Khau, MHA, director of the Data Analytics & ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Efforts in the early 20th century to improve the quality of medical education in the United States led to a steep decline in the number of medical schools and medical school graduates. In a new study, ...
The collaboration will convene AMR leaders to define and prioritize AI-ready datasets and evaluations to advance AMR research through an open call for proposals and community workshops in North ...
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