Articles

Data Analysis

Bayesian information borrowing allows you to leverage existing knowledge from related studies or domains. Read this post to understand Bayesian information borrowing in…
An introduction to Bayesian Information Borrowing for biomedical researchers
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Choosing the best regression method depends on several factors, including the nature of your data, the relationship between variables, and the assumptions of the…
This post is about all the ways in which a biostatistician can boost your statistical abilities, empowering you to design studies and analyze data with confidence. 
In this blog post we will explore the transformative potential of statistical analysis and how you can optimize its power to unlock new realms of research excellence. 
Many biomedical problems require intricate, multifaceted models. Bayesian statistics can handle these complexities seamlessly, allowing you to create models that reflect…
10 Steps to get started with bayesian statistics in biomedical research
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In biomedical research, recognizing and interpreting heterogeneity and homogeneity of treatment effects is crucial. Embracing both concepts allows for a…
Heterogeneity and homogeneity of treatment effects: what biomedical researchers need to know
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In the vast ocean of statistical methods, biomedical researchers often find themselves at a crossroads when choosing between traditional frequentist statistics and the…
Data cleaning sets the foundation for trustworthy analyses and robust results. This post uncovers some of the common pitfalls that might trip researchers up during the…
This blogpost breaks down Sequential Multiple Assignment Randomized Trial (SMART) and explores why it's becoming a game-changer for biomedical researchers.
Read this blogpost to understand what Bayesian Neural Network is, its advantages, and challenges.