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Data Analysis
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Researchers employ statistical approaches, including machine and deep learning approaches. These methods help researchers and healthcare professionals make accurate…
- Marisha Fonseca
- November 6, 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
Referring to the SAMPL guidelines while conducting your statistical analysis and drafting your manuscript is a good strategy. This article covers everything you need to…
- Marisha Fonseca
- April 17, 2023
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 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
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 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
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
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
This article discusses the benefits of calculating incidences and prevalences, and the best practices for it.
- Marisha Fonseca
- March 24, 2023