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6 Common mistakes made by biomedical researchers while testing the relationships between variables

Relationships between variables are tested using correlation, association, or regression analysis. In this post, we’ve looked at some important precautions for such…
6 Common mistakes made by biomedical researchers while testing the relationships between variables

7 tips to avoid biases in biomedical data collection

Accuracy and integrity are essential in biomedical research. Here are a few tips to help you collect reliable data.
7 tips to avoid biases in biomedical data collection

10 Steps to get started with bayesian statistics in biomedical research

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

Maximize your lab’s research productivity through a statistical analysis service

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. 
Maximize your lab’s research productivity through a statistical analysis service

From novice to ninja: How working with a biostatistician can boost your own statistical expertise

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. 
From novice to ninja: How working with a biostatistician can boost your own statistical expertise
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Heterogeneity and homogeneity of treatment effects: what biomedical researchers need to know

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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Choosing between Frequentist and Bayesian statistics: a guide for biomedical researchers

In the vast ocean of statistical methods, biomedical researchers often find themselves at a crossroads when choosing between traditional frequentist statistics and the…
Choosing between Frequentist and Bayesian statistics: a guide for biomedical researchers

Understanding the Sequential Multiple Assignment Randomized Trial (SMART): A guide for biomedical researchers

This blogpost breaks down Sequential Multiple Assignment Randomized Trial (SMART) and explores why it's becoming a game-changer for biomedical researchers.
Understanding the Sequential Multiple Assignment Randomized Trial (SMART): A guide for biomedical researchers

A handy guide to Bayesian Neural Networks for biomedical researchers

Read this blogpost to understand what Bayesian Neural Network is, its advantages, and challenges.
A handy guide to Bayesian Neural Networks for biomedical researchers

5 Common pitfalls in data cleaning that biomedical researchers need to know

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…