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...
by Biostatsquid | Apr 13, 2023 | Learning, RNAseq
Top tips and resources to perform cell type annotation on scRNAseq data Once you preprocess your single-cell RNA sequencing (scRNAseq) data, it is time for one of the biggest challenges in a standard scRNAseq pipeline: annotating cell types. The scientific community...
by Biostatsquid | Apr 12, 2023 | Learning, RNAseq, scRNAseq, Statistics
In this post, you will learn how to interpret a heatmap for differential gene expression analysis. Find out why heatmaps are a great way of visualising gene expression data with this simple explanation. Let’s dive in! Prefer to listen? Watch my Youtube video on...
