Articles

Data Analysis

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 break down what Regression Discontinuity Design (RDD) is, how it works, and explore some fascinating applications of RDD in answering pressing…
Read this article to understand heteroskedasticity and homoskedasticity in order to assess the quality of data, make informed decisions about statistical methods, and…
In this blogpost, we describe some valuable strategies for biomedical researchers eager to enhance their analytical prowess.
Bayesian clinical trial design is more flexible and adaptive as compared to the traditional ones. Read this blogpost to know everything about Bayesian Adaptive design,…
In this blog post, we’re going to take a journey through sophisticated data visualization techniques and tools that have been proven useful and valuable for biomedical…
What are outliers and how can we handle them effectively? This blogpost takes you on a journey through the world of outliers and discover the best practices in handling…
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 walk you through some best practices in data analysis for GWAS, ensuring that you can embark on your genetic discovery journey with confidence. 
In this blogpost, we’ll explore the magic of Markov Chain Monte Carlo (MCMC) and how to leverage its potential in biomedical research, starting with a quick explanation…