Articles
Data Analysis
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.
- Marisha Fonseca
- August 25, 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
This article sheds light on various tools tailored for biomedical researchers, each equipped with unique features and functionalities.
- Marisha Fonseca
- January 19, 2024
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
Choosing the best regression method depends on several factors, including the nature of your data, the relationship between variables, and the assumptions of the…
- Marisha Fonseca
- February 18, 2024
In biomedical research, recognizing and interpreting heterogeneity and homogeneity of treatment effects is crucial. Embracing both concepts allows for a…
- Marisha Fonseca
- February 14, 2024
Data cleaning sets the foundation for trustworthy analyses and robust results. This post uncovers some of the common pitfalls that might trip researchers up during the…
- Marisha Fonseca
- August 4, 2023
Read this blogpost to understand what Bayesian Neural Network is, its advantages, and challenges.
- Marisha Fonseca
- January 22, 2024
This blogpost breaks down Sequential Multiple Assignment Randomized Trial (SMART) and explores why it's becoming a game-changer for biomedical researchers.
- Marisha Fonseca
- January 17, 2024
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