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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…
- Marisha Fonseca
- November 1, 2023
This blogpost will give you an overview of Bayesian hierarchical models and outline some best practices you can follow while using them.
- Marisha Fonseca
- September 25, 2023
We had invited researchers around the world to ask questions related to research communication and challenges that they face while presenting data visually. Fabricio…
- Editage Insights
- December 19, 2022
In this blogpost, we’ll break down Principal Components Analysis (PCA) in simple terms, explore its applications in biomedical research, discuss its advantages and…
- Marisha Fonseca
- October 19, 2023
In this blog post, we’ll explore five key trends that are currently shaping statistical analysis in the field.
- Marisha Fonseca
- August 1, 2023
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.
- Fabrício Pamplona
- December 14, 2022
This infographic presents five key things biomedical researchers need to know about correlation analysis in order to produce reliable results.
- Marisha Fonseca
- December 1, 2023
In this blogpost, we'll demystify how Bayesian statistics can revolutionize your approach to meta-analysis.
- Marisha Fonseca
- October 23, 2023
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…
- Savitha Sekhar
- September 7, 2023
This blogpost will act like a guide for biomedical researchers by explaining the principle behind propensity score weighting along with its advantages and disadvantages.
- Marisha Fonseca
- January 10, 2024