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Relationships between variables are tested using correlation, association, or regression analysis. In this post, we’ve looked at some important precautions for such…
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. 
Bayesian information borrowing allows you to leverage existing knowledge from related studies or domains. Read this post to understand Bayesian information borrowing in…
This article sheds light on various tools tailored for biomedical researchers, each equipped with unique features and functionalities.
Many biomedical problems require intricate, multifaceted models. Bayesian statistics can handle these complexities seamlessly, allowing you to create models that reflect…
Journal guidelines are super important when it comes to submission. This post talks in detail about their importance, typical guidelines and ensure your paper follows…
Dealing with journal guidelines: Mastering the art of research paper submission
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Read this blogpost to understand what Bayesian Neural Network is, its advantages, and challenges.
This blogpost breaks down Sequential Multiple Assignment Randomized Trial (SMART) and explores why it's becoming a game-changer for biomedical researchers.
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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In research, English has probably helped break down barriers more than it has divided people, but the predominance of English is not an unalloyed good. The expectation…