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Research Data Management
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This article sheds light on various tools tailored for biomedical researchers, each equipped with unique features and functionalities.
- Marisha Fonseca
- January 19, 2024
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Lasso penalized regression has proven to be a valuable asset in genetics research, aiding researchers in the identification of key genetic markers. By understanding its…
- Marisha Fonseca
- February 23, 2024
This blogpost explains some key considerations for analyzing clustered data, along with common approaches and their advantages and disadvantages.
- Marisha Fonseca
- November 16, 2023
Statistical analysis is an integral part of biomedical research, right from designing the study to choosing appropriate methods and running inferential tests. Here are 7…
- Marisha Fonseca
- September 6, 2023
In this blog post, we’ll explore what basket trials are, their significance, and the crucial considerations for statistical analysis within this innovative framework.
- Marisha Fonseca
- October 25, 2023
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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
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
Relationships between variables are tested using correlation, association, or regression analysis. In this post, we’ve looked at some important precautions for such…
- Marisha Fonseca
- August 1, 2023
Accuracy and integrity are essential in biomedical research. Here are a few tips to help you collect reliable data.
- Marisha Fonseca
- September 11, 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