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Data Analysis
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This blogpost looks at the crucial role that statistics plays in the identification of biomarkers from omics data, and get an idea of the powerful tools and methods that…
- Marisha Fonseca
- June 12, 2023
In this blog post, we'll explore the challenges we often face during data cleaning and present some user-friendly solutions.
- Marisha Fonseca
- August 21, 2023
In this blogpost, we’ll explore the magic of Markov Chain Monte Carlo (MCMC) and how to leverage its potential in biomedical research, starting with a quick explanation…
- Marisha Fonseca
- September 15, 2023
Researchers employ statistical approaches, including machine and deep learning approaches. These methods help researchers and healthcare professionals make accurate…
- Marisha Fonseca
- November 6, 2023
This is a conversation with Dr. Monika Sobocan about the different kinds of variables in biomedical research and how to work with them.
- Marisha Fonseca
- March 16, 2023
In this quick and easy guide, we’re going to unravel the mysteries of survival analysis and how it teams up with big data to give us fascinating insights into health and…
- Marisha Fonseca
- September 7, 2023
This article discusses the benefits of calculating incidences and prevalences, and the best practices for it.
- Marisha Fonseca
- March 24, 2023
Mixed effects models are statistical tools designed to handle complex data structures commonly encountered in biomedical research. Let’s take a look at some of the most…
- Marisha Fonseca
- November 1, 2023
This blogpost will give you an overview of Bayesian hierarchical models and outline some best practices you can follow while using them.
- Marisha Fonseca
- September 25, 2023
In this blogpost, we’ll break down Principal Components Analysis (PCA) in simple terms, explore its applications in biomedical research, discuss its advantages and…
- Marisha Fonseca
- October 19, 2023