Statistical Learning: 11.1 Introduction to Survival Data and Censoring

Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing

Trevor Hastie, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/peopl...

Robert Tibshirani, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/peopl...

Jonathan Taylor, Professor Statistics at Stanford University - https://statistics.stanford.edu/peopl...

You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion. You can choose to take the course in R (https://www.edx.org/course/statistica) or in Python (https://www.edx.org/learn/data-analys...)

For more information about courses on Statistics, you can browse our Stanford Online Catalog: https://stanford.io/3QHRi72

0:00 Introduction
0:01 Survival Analysis
1:16 Some of the big names in this field
2:48 Non-medical Examples
4:28 Survival and Censoring Times - Continued
5:12 Illustration
5:39 A Closer Look at Censoring
8:57 Estimating the Survival Curve Continued
10:59 The Kaplan-Meier Estimate: Example
11:31 Second Failure
12:18 Third Failure
12:58 Resulting KM Survival Curve
13:30 Kaplan-Meier Survival Curve for the BrainCancer Data

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