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| Duration: | 1 hour |
|---|---|
| Where: | Join us from anywhere! |
| Cost: | Free—but registrations are limited |
Survival analysis allows researchers to investigate duration outcomes—outcomes measuring the time to an event of interest. For example, you might be comparing time to death for individuals taking a placebo and those taking a new medication. You might also be measuring the time to employment or bankruptcy. There are some complications that arise when analyzing this type of data: the event of interest may not be observed, individuals might enter the study at different times, and some individuals may not be observed continuously throughout the study. These inherent complications have given rise to a variety of models used to analyze this type of data.
We demonstrate Stata's specialized tools for survival analysis. We will give you a tour of the summary statistics, graphs, models, and diagnostics that are available in Stata for analyzing survival-time data. You will learn how to obtain the mean survival time, incidence rates, and perform tests of equality. Are you interested in modeling survival as a function of covariates? Gabriela will show you how to fit different regression models and adjust for within-group correlation. You will learn that even when your data have competing failure events or when the exact time of the event of interest is unknown, you can still analyze your data in Stata. You will also see how you can visualize the results of your model and graphically assess model fit.
The webinar is free, but you must register to attend. Registrations are limited so register soon.
We will send you an email prior to the start with instructions on how to access the webinar.
Gabriela Ortiz is a Senior Applied Econometrician at StataCorp LLC. She holds a bachelor's degree in psychology from the University of California, Davis and a master's degree in economics from California State University, Long Beach. Gabriela is a primary author of Stata's reporting manual and has contributed to the development of each of the reporting features. She also developed and regularly teaches several of Stata's webinars.
