Articles

Research Data Management

Researchers employ statistical approaches, including machine and deep learning approaches. These methods help researchers and healthcare professionals make accurate…
This is a conversation with Dr. Monika Sobocan about the different kinds of variables in biomedical research and how to work with them. 
In this quick and easy guide, we’re going to unravel the mysteries of survival analysis and how it teams up with big data to give us fascinating insights into health and…
This article discusses the benefits of calculating incidences and prevalences, and the best practices for it.
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 blogpost will give you an overview of Bayesian hierarchical models and outline some best practices you can follow while using them.  
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 blog post, we’ll explore five key trends that are currently shaping statistical analysis in the field.
This infographic presents five key things biomedical researchers need to know about correlation analysis in order to produce reliable results.
In this blogpost, we'll demystify how Bayesian statistics can revolutionize your approach to meta-analysis.