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The ICMJE has put together guidelines and principles regarding the use of AI in conducting and reporting research. Let’s dive into the key recommendations in this…
The ICMJE recommendations on AI: Advice for authors and peer reviewers
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Learn in depth how to write plain-language summaries and know more about the strategies you can use to write them. 
Strategies to reach a wider audience using plain-language summaries
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This piece aims to raise awareness about paper mills, tracing its origins and modus operandi, and bringing to light the red flags researchers should be wary of.
Paper mills and the erosion of research credibility: Researchers beware
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This article explains what deductive reasoning is including its definition and examples.
Demystifying deductive reasoning: A guide with practical examples
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This article explores how museums shape research and public perception on the occasion of International Museum Day
How museums shape research and public perception: 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…
6 Personal stories of researchers whose resilience is inspiring
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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…
Implicit Bias: the snake in the grass of the research ecosystem
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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…
The null hypothesis: What researchers often get wrong
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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…
Celebrating innovations in care: How nurses propel evidence-based medicine
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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…