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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. 
This blogpost will outline some best practices that can help you not only boost your efficiency and productivity as a researcher but also contribute toward ethical…
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…
Bootstrapping is a powerful tool, but like any statistical method, it should be applied thoughtfully. Read this post to learn all about bootstrapping.