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 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...
by Biostatsquid | Jan 23, 2023 | Learning, RNAseq, scRNAseq, Statistics
What is gene set enrichment analysis and how can you use it to summarise your differential gene expression analysis results? This post will give you a simple and practical explanation of Gene Set Enrichment Analysis, or GSEA for short. You will find out: What is Gene...
by Biostatsquid | Jan 23, 2023 | Learning, RNAseq, scRNAseq, Statistics
An overview of pathway enrichment analysis and how you can use it for your differential gene expression analysis data. In this post, you will find pathway enrichment analysis explained in a simple way with examples. I will try to give you a simple and practical...
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