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Research Data Management

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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…
This blogpost explains some key considerations for analyzing clustered data, along with common approaches and their advantages and disadvantages.
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…
In this blog post, we’ll explore what basket trials are, their significance, and the crucial considerations for statistical analysis within this innovative framework. 
This article sheds light on various tools tailored for biomedical researchers, each equipped with unique features and functionalities.
Relationships between variables are tested using correlation, association, or regression analysis. In this post, we’ve looked at some important precautions for such…
Accuracy and integrity are essential in biomedical research. Here are a few tips to help you collect reliable data.
Bayesian information borrowing allows you to leverage existing knowledge from related studies or domains. Read this post to understand Bayesian information borrowing in…
An introduction to Bayesian Information Borrowing for biomedical researchers
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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…
In this blog post we will explore the transformative potential of statistical analysis and how you can optimize its power to unlock new realms of research excellence.