Articles

Publication Support Services

Bayesian information borrowing allows you to leverage existing knowledge from related studies or domains. Read this post to understand Bayesian information borrowing in…
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…
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.
To ensure the validity and reliability of your findings, it's essential to take specific precautions during statistical analysis. This blogpost lists 10 key precautions…
This blogpost explains some key considerations for analyzing clustered data, along with common approaches and their advantages and disadvantages.
In this blog post, we will explore practical tips and strategies tailored specifically for mid-career researchers in life sciences to maximize the impact of their work…
Researchers employ statistical approaches, including machine and deep learning approaches. These methods help researchers and healthcare professionals make accurate…