Stata: Survival Analysis | Franz Buscha | Skillshare

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# Stata: Survival Analysis

## Watch this class and thousands more

Taught by industry leaders & working professionals
Topics include illustration, design, photography, and more

## Watch this class and thousands more

Taught by industry leaders & working professionals
Topics include illustration, design, photography, and more

8 Lessons (55m)

2:53

6:00

8:35

8:08

8:30

7:24

5:23
• ### 8. Survival 7 - Parametric Survival Analysis

7:39
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This class is a Stata module that explores how to analyse, and model, survival data using the statistics software Stata.

Survival analysis - also called duration analysis or event data analysis - analysis examines the expected duration of time until one or more events happen, such as death of patient, time until someone leaves unemployment or failure in a mechanical system.

The key concept of survival analysis is that time is the variable of interest. In regression terminology we say that time is the dependent variable.

If you are working with, or analyzing data, that puts time as the dependent variable then you will require a special class of modelling techniques.

In this class I will highlight some of the most important concepts of survival data analysis including:

• What is survival data
• What is non-paremetric survival analysis
• What is cox proportional hazards model
• What is parametric survival analysis

You are expected to have a basic understanding of Statistics and Stata to get the most out of this course.

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