Articles

Data Storage & Management

We''ll take you into the world of Bayesian methods and how they can be your secret weapon for efficient and effective data cleaning.
Biomedical research often deals with complex phenomena, and missing values can throw a wrench into our data analyses. This blogpost explains Multiple Imputation by…
This blogpost explains some key considerations for analyzing clustered data, along with common approaches and their advantages and disadvantages.
Bayesian information borrowing allows you to leverage existing knowledge from related studies or domains. Read this post to understand Bayesian information borrowing in…
Many biomedical problems require intricate, multifaceted models. Bayesian statistics can handle these complexities seamlessly, allowing you to create models that reflect…
10 Steps to get started with bayesian statistics in biomedical research
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Biomedical researchers conducting simulation studies should consider several key statistical aspects to ensure the validity and reliability of their findings. Here, we…
This blogpost will outline some best practices that can help you not only boost your efficiency and productivity as a researcher but also contribute toward ethical…
In this blogpost, we will explore the usefulness of Bayesian methods in prognostic research, highlight the challenges in statistical analysis, and delve into some common…
Biomedical researchers can use these tips to navigate big data with the help of a biostatistician.  Researchers should to assess the data quality,…
To ensure the validity and reliability of your findings, it's essential to take specific precautions during statistical analysis. This blogpost lists 10 key precautions…