Lecture 2: Kaplan–Meier Survival Analysis & Log-Rank Test in R | Step-by-Step Tutorial скачать в хорошем качестве

Lecture 2: Kaplan–Meier Survival Analysis & Log-Rank Test in R | Step-by-Step Tutorial

In this lecture, we cover Kaplan–Meier survival analysis, a widely used non-parametric method to estimate survival probabilities in health and medical research. You will learn: • Difference between parametric and non-parametric methods • What the Kaplan–Meier estimator is and when to use it • How to handle censored data • Step-by-step Kaplan–Meier analysis in R • Creating and interpreting survival curves • Comparing groups using the Log-Rank test • Interpreting p-values and confidence intervals The lecture includes a hands-on demonstration using real clinical datasets (TCGA) and explains results in a clear, health-focused manner. 🔹 Designed for non-technical health professionals 🔹 Practical R code explained line-by-line 🔹 Ideal for clinical, epidemiological, and public-health research 📌 This lecture is part of an ongoing Survival Analysis course.    • Survival Analysis in Health Research (Usin...   Subscribe to our channel for more Digital Health content! ❤️💬🔔 👍 Social Media: Facebook:   / universaldigitalhealth   Twitter:   / unidigihealth   LinkedIn:   / universal-digital-health   Instagram:   / universaldigitalhealth   TikTok:   / universaldigitalhealth