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Webinar: Survival analysis using Stata


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.

Join Gabriela Ortiz, Applied Statistician, as she demonstrates Stata's specialized tools for survival analysis. She 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.

How to join

The webinar is free, but you must register to attend. Registrations are limited, so register soon. Register by clicking the desired date of your course above.

We will send you an email prior to the start of the course with instructions on how to access the webinar.

Presenter: Gabriela Ortiz

Gabriela Ortiz portrait

Gabriela Ortiz is an Applied Statistician at StataCorp. 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 Stata's introductory webinars.


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