Articles

Conducting Research

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…
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.
Explore independent publishing and understand its benefits and pitfalls so that you may take an informed decision that you don't regret later.
This infographic presents five key things biomedical researchers need to know about correlation analysis in order to produce reliable results.
The process of generating a research problem statement begins with asking the right question. But how can we formulate this question? As a passionate robotics researcher…
Analyzing time-to-event data is crucial in understanding the progression and outcomes of diseases, treatment effectiveness, and more. Here are some important…
This blogpost explains in detail what Bayesian statistics is, what is its use in survival analysis, and pros and cons of using different bayesian models.