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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
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Choosing the right regression method: A handy guide for biomedical researchers

Choosing the best regression method depends on several factors, including the nature of your data, the relationship between variables, and the assumptions of the…
Choosing the right regression method: A handy guide for biomedical researchers
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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

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

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

Efficient, cost-effective, and patient-centered: How machine learning can transform the way we conduct clinical trials

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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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
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Enhancing Healthcare: Power of Bayesian Methods in Personalized Medicine

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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10 things biomedical researchers need to know when conducting simulation studies

Biomedical researchers conducting simulation studies should consider several key statistical aspects to ensure the validity and reliability of their findings. Here, we…