Easy survival analysis - simple introduction with an example!

In this video, we will discuss the main concepts behind survival time analysis - easily explained!
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 time analysis is used to compare the performance of two different kinds of treatment, for example. Survival time analysis can also be used to test whether certain characteristics (e.g., smoking, diet, exercise habits, a mutation in a certain gene…) affect the progression of a disease.
And as always, you can find the full explanation at biostatsquid.com
Hope you like it!
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