by Biostatsquid | Apr 2, 2024 | Learning, Machine learning, Statistics
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?...
by Biostatsquid | Nov 26, 2023 | Learning, Statistics
A simple explanation of Cox regression and hazard ratios for survival time analysis Survival 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...
by Biostatsquid | Nov 7, 2023 | Learning, Statistics
A simple explanation of the log rank test to evaluate differences between survival curves Previously, 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,...
by Biostatsquid | Oct 22, 2023 | Statistics
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...
by Biostatsquid | Oct 21, 2023 | Learning, Statistics
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...
by Biostatsquid | Sep 24, 2023 | Learning, Statistics
Confidence intervals, confidence level and p-values simply explained! Let’s talk about p-values and confidence intervals! They’re very common statistical terms, and I thought I had a clear understanding of what both are, but turns out that language can be...
