Articles

Research Data Management

This article sheds light on various tools tailored for biomedical researchers, each equipped with unique features and functionalities.
In this blogpost, we’ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.
Analyzing time-to-event data is crucial in understanding the progression and outcomes of diseases, treatment effectiveness, and more. Here are some important…
Read this blogpost to understand why Bayesian methods must be used to analyze longitudinal data and which of the Bayesian methods work well.
This article takes a look at the potential of deep learning and its remarkable impact on the biomedical landscape.  
Biomedical research often deals with complex phenomena, and missing values can throw a wrench into our data analyses. This blogpost explains Multiple Imputation by…
Data dredging refers to the practice of exploring data exhaustively, trying out different combinations and analyses until a statistically significant result is found,…
A biostatistician can help you catch misses and errors in your statistical analysis, boosting your chances of publication as well as the impact of your research. We are…
In this blog post, we will discuss five terms that researchers need to use with caution, to ensure that readers accurately understand their findings and are not misled.
In this blogpost, we’ll explore different types of cluster analysis, its real-world applications, and its pros and cons as a tool to navigate the complex landscape of…