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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…
An introduction to multiple imputation by chained equations for biomedical researchers
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Genetics research: using the LASSO penalized regression method

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…
Genetics research: using the LASSO penalized regression method

Leading your research team in data analysis: 7 tips for investigators

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…
Leading your research team in data analysis: 7 tips for investigators

Analyzing clustered data: What biomedical researchers need to know

This blogpost explains some key considerations for analyzing clustered data, along with common approaches and their advantages and disadvantages.
Analyzing clustered data: What biomedical researchers need to know

Unpacking basket trials in biomedical research: A how-to guide 

In this blog post, we’ll explore what basket trials are, their significance, and the crucial considerations for statistical analysis within this innovative framework. 
Unpacking basket trials in biomedical research: A how-to guide 

6 Common mistakes made by biomedical researchers while testing the relationships between variables

Relationships between variables are tested using correlation, association, or regression analysis. In this post, we’ve looked at some important precautions for such…
6 Common mistakes made by biomedical researchers while testing the relationships between variables

7 tips to avoid biases in biomedical data collection

Accuracy and integrity are essential in biomedical research. Here are a few tips to help you collect reliable data.
7 tips to avoid biases in biomedical data collection

Maximize your lab’s research productivity through a statistical analysis service

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.