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Researchers employ statistical approaches, including machine and deep learning approaches. These methods help researchers and healthcare professionals make accurate…
Bootstrapping is a powerful tool, but like any statistical method, it should be applied thoughtfully. Read this post to learn all about bootstrapping.
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.
This blogpost will act like a guide for biomedical researchers by explaining the principle behind propensity score weighting along with its advantages and disadvantages.
In this blog post, we’ll break down what Regression Discontinuity Design (RDD) is, how it works, and explore some fascinating applications of RDD in answering pressing…