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This article explores how museums shape research and public perception on the occasion of International Museum Day

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In this post are stories of the often-unseen struggles that researchers face while pursuing their goals, which will not only inspire us, but also give us hope.

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Addressing implicit requires deliberate efforts to promote diversity, equity, and inclusion in research practices. Researchers can engage in cultural competency training, collaborate with diverse…

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What some the statistician-approved ways of handling missing data? Biostatisticians have developed various useful techniques to deal with these holes in your dataset. The infographic below…

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If you heavily rely on conventional (frequentist) statistical tests like t-tests or ANOVAs in your research, it’s important to understand the principles behind the null hypothesis and NHST.…

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We celebrate the dedication and tireless efforts that ensure that the future of healthcare is evidence-based and patient-focused. Let's continue supporting and promoting the critical role of…

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Interested in getting started with Bayesian statistics? Carefully selecting a prior distribution helps maintain objectivity and transparency in your Bayesian analysis. Inappropriate or poorly…

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Confirmation bias makes it difficult for a researcher to remain objective during the research process. However, by understanding its mechanisms and implementing strategies to mitigate its effects…

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Humor helps make even the most mind-boggling science feel downright enjoyable and digestible. So, keep this in mind the next time you are about to share your work with an audience.

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Hidden Markov Models (HMMs) are extensively used in biomedical research for analyzing various types of sequential data, including DNA sequences, protein sequences, and biological pathways. Here…