Articles
Data Analysis
Read this blogpost to understand why Bayesian methods must be used to analyze longitudinal data and which of the Bayesian methods work well.
- Marisha Fonseca
- December 20, 2023
Many biomedical problems require intricate, multifaceted models. Bayesian statistics can handle these complexities seamlessly, allowing you to create models that reflect…
- Marisha Fonseca
- December 15, 2023
Bayesian information borrowing allows you to leverage existing knowledge from related studies or domains. Read this post to understand Bayesian information borrowing in…
- Marisha Fonseca
- December 13, 2023
In this blogpost, we've examined how machine learning benefits various aspects of clinical trial management, from planning the study to overseeing participants and…
- Marisha Fonseca
- December 8, 2023
In this blog post, we have broken down the concept of joint modeling in simple terms and explained its significance for biomedical researchers.
- Marisha Fonseca
- December 6, 2023
This infographic presents five key things biomedical researchers need to know about correlation analysis in order to produce reliable results.
- Marisha Fonseca
- December 1, 2023
Analyzing time-to-event data is crucial in understanding the progression and outcomes of diseases, treatment effectiveness, and more. Here are some important…
- Marisha Fonseca
- November 27, 2023
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.
- Marisha Fonseca
- November 24, 2023
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…
- Marisha Fonseca
- November 21, 2023
This blogpost explains some key considerations for analyzing clustered data, along with common approaches and their advantages and disadvantages.
- Marisha Fonseca
- November 16, 2023