Articles
Data Analysis
Read this blogpost to understand what Bayesian Neural Network is, its advantages, and challenges.
- Marisha Fonseca
- January 22, 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
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
Biomedical researchers conducting simulation studies should consider several key statistical aspects to ensure the validity and reliability of their findings. Here, we…
- Marisha Fonseca
- March 19, 2024
Hidden Markov Models (HMMs) are extensively used in biomedical research for analyzing various types of sequential data, including DNA sequences, protein sequences, and…
- Marisha Fonseca
- May 2, 2024
This blog post delves into what sensitivity analysis entails, its applications, advantages, and potential limitations in the context of biomedical research.
- Marisha Fonseca
- April 19, 2024
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
In the world of biomedical research, where every piece of data holds valuable insights, statistical tools like the Method of Moments play a crucial role. By demystifying…
- Marisha Fonseca
- February 26, 2024
In scientific research, statisticians and researchers continually seek the most robust and informative methods to analyze data. The integration of Bayesian and…
- Marisha Fonseca
- March 27, 2024
Interested in getting started with Bayesian statistics? Carefully selecting a prior distribution helps maintain objectivity and transparency in your Bayesian analysis…
- Marisha Fonseca
- May 9, 2024