Articles

Research Data Management

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.
In this blogpost, we've examined how machine learning benefits various aspects of clinical trial management, from planning the study to overseeing participants and…
Efficient, cost-effective, and patient-centered: How machine learning can transform the way we conduct clinical trials
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With advancements in technology and data analytics, personalized medicine has witnessed a surge in interest, offering the potential to revolutionize patient care. Among…
Enhancing Healthcare: Power of Bayesian Methods in Personalized Medicine
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Biomedical researchers conducting simulation studies should consider several key statistical aspects to ensure the validity and reliability of their findings. Here, we…