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Read this blogpost to understand why Bayesian methods must be used to analyze longitudinal data and which of the Bayesian methods work well.
By addressing language barriers, we can empower diverse communities to participate in research and contribute to shaping the future. Read this short blogpost to…
Many biomedical problems require intricate, multifaceted models. Bayesian statistics can handle these complexities seamlessly, allowing you to create models that reflect…
Bayesian information borrowing allows you to leverage existing knowledge from related studies or domains. Read this post to understand Bayesian information borrowing in…
This is a list of 11 reading resources that will will help you express your research confidently in English through simple, practical tips on how to avoid common…
As the year 2023 is coming towards an end, we have compiled our top 10 articles for you! 
In this blogpost, we've examined how machine learning benefits various aspects of clinical trial management, from planning the study to overseeing participants and…
In this blog post, we have broken down the concept of joint modeling in simple terms and explained its significance for biomedical researchers.
This infographic presents five key things biomedical researchers need to know about correlation analysis in order to produce reliable results.
Analyzing time-to-event data is crucial in understanding the progression and outcomes of diseases, treatment effectiveness, and more. Here are some important…