BiostatLEARN
Simple and clear explanations of biostatistics methods, statistical concepts and more!
I try to keep them maths-free and straight to the point, with many examples of biological applications.
Latest posts
How to interpret density plots
A short but simple explanation of density plots - easily explained with an example!Density plots are a great way to visualise the distribution of continuous variables. For example, you might want to find out within which range of weights most of your mice fall. Or if...
Logistic regression – easily explained!
A short but simple explanation of logistic regression - easily explained with an example!Logistic regression is a statistical model (also known as logit model) which is often used for classification and predictive analytics. But what is logistic regression? When do we...
Easy Cox regression for survival analysis
A simple explanation of Cox regression and hazard ratios for survival time analysisSurvival time analysis studies a variable with a start time and an end time, which is when a certain event occurs. The event could be death, but also be relapse after chemotherapy, a...
Easy log rank test for survival analysis
A simple explanation of the log rank test to evaluate differences between survival curvesPreviously, we talked about survival analysis and the Kaplan-Meier curve. In this post, I will explain how to interpret the log rank test for survival analysis. Before we start,...
Kaplan-Meier curve – easily explained!
A simple explanation of Kaplan-Meier curves and how to interpret them!In my previous blogpost, we talked about survival time analysis. In a nutshell, survival time analysis, is a group of statistical methods we use to investigate the time it takes for an event of...
Survival time analysis: easily explained!
A simple introduction to survival time analysis, Kaplan-Meier curves, Cox regression and more!Survival time analysis is really common in biostatistics. You might have heard of Kaplan-Meier curves, Cox regressions or the log rank test. In clinical trials, survival...
How to interpret density plots
A short but simple explanation of density plots - easily explained with an example!Density plots are a great way to visualise the distribution of continuous variables. For example, you might want to find out within which range of weights most of your mice fall. Or if...
Logistic regression – easily explained!
A short but simple explanation of logistic regression - easily explained with an example!Logistic regression is a statistical model (also known as logit model) which is often used for classification and predictive analytics. But what is logistic regression? When do we...
Easy Cox regression for survival analysis
A simple explanation of Cox regression and hazard ratios for survival time analysisSurvival time analysis studies a variable with a start time and an end time, which is when a certain event occurs. The event could be death, but also be relapse after chemotherapy, a...
Easy log rank test for survival analysis
A simple explanation of the log rank test to evaluate differences between survival curvesPreviously, we talked about survival analysis and the Kaplan-Meier curve. In this post, I will explain how to interpret the log rank test for survival analysis. Before we start,...
Kaplan-Meier curve – easily explained!
A simple explanation of Kaplan-Meier curves and how to interpret them!In my previous blogpost, we talked about survival time analysis. In a nutshell, survival time analysis, is a group of statistical methods we use to investigate the time it takes for an event of...
Survival time analysis: easily explained!
A simple introduction to survival time analysis, Kaplan-Meier curves, Cox regression and more!Survival time analysis is really common in biostatistics. You might have heard of Kaplan-Meier curves, Cox regressions or the log rank test. In clinical trials, survival...