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Conducting a longitudinal study? Here’s why and how you should use Bayesian methods

Read this blogpost to understand why Bayesian methods must be used to analyze longitudinal data and which of the Bayesian methods work well.
Conducting a longitudinal study? Here’s why and how you should use Bayesian methods

Unleashing the power of deep learning in biomedical research

This article takes a look at the potential of deep learning and its remarkable impact on the biomedical landscape.  
Unleashing the power of deep learning in biomedical research

5 Statistical terms that biomedical researchers need to use carefully

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.
5 Statistical terms that biomedical researchers need to use carefully

A quick and affordable way of making sure your research paper is statistically sound

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…
A quick and affordable way of making sure your research paper is statistically sound

Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers

In this blogpost, we’ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.
Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers

Have you fallen prey to data dredging?

Data dredging refers to the practice of exploring data exhaustively, trying out different combinations and analyses until a statistically significant result is found,…
Have you fallen prey to data dredging?

Cluster analysis of big biomedical data: A how-to guide

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…
Cluster analysis of big biomedical data: A how-to guide

Analyzing time-to-event data: What biomedical researchers need to know

Analyzing time-to-event data is crucial in understanding the progression and outcomes of diseases, treatment effectiveness, and more. Here are some important…
Analyzing time-to-event data: What biomedical researchers need to know

Using bayesian methods for data cleaning: A guide for biomedical researchers

We''ll take you into the world of Bayesian methods and how they can be your secret weapon for efficient and effective data cleaning.
Using bayesian methods for data cleaning: A guide for biomedical researchers

An introduction to multiple imputation by chained equations for biomedical researchers

Biomedical research often deals with complex phenomena, and missing values can throw a wrench into our data analyses. This blogpost explains Multiple Imputation by…