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This blogpost will give you an overview of Bayesian hierarchical models and outline some best practices you can follow while using them.  
This infographic presents five key things biomedical researchers need to know about correlation analysis in order to produce reliable results.
Mixed effects models are statistical tools designed to handle complex data structures commonly encountered in biomedical research. Let’s take a look at some of the most…
This post explains how ESL authors may use AI tools like ChatGPT and other online tools to help overcome the barrier of language and publishing manuscripts in English…
In this blogpost, we’ll break down Principal Components Analysis (PCA) in simple terms, explore its applications in biomedical research, discuss its advantages and…
In this blogpost, we'll demystify how Bayesian statistics can revolutionize your approach to meta-analysis.
We had invited researchers around the world to ask questions related to research communication and challenges that they face while presenting data visually. Fabricio…
In this blog post, we’ll explore five key trends that are currently shaping statistical analysis in the field.
Creating scientific figures is a simple and effective way to boost the value of your research. Check out this article to learn how to make a good one.
Accurate attribution is one of the guiding principles of academic integrity ensuring that credit is given where credit is due. Here we offer some tips on how to avoid…