Includes Sept. 28 & Oct. 28 dates — both 11 a.m. – 12:30 p.m. CT

Within Family Science, questions regarding whether something will occur is common. For example, one might be interested in whether or at what point someone marries, has a child, or might divorce. However, the ability to predict such events and when it might happen pose methodological challenges. The statistical technique of survival analysis is particularly useful in allowing researchers to answer the when or at what point something might occur and opens the door for new and innovative research questions.

This webinar will introduce participants to survival analysis. Specifically, attendees will learn when and how to use survival analysis, how to interpret the results, and practice running the statistical method; little to no knowledge of this technique is needed before attending the webinar. Handouts will also be provided and attendees will be able to practice the skills being taught both during and after the webinar has occurred. STATA will primarily be used in the demonstration, but additional information on how to perform this technique in different statistical software will be provided (i.e., SPSS).

In part 1 of this two-part webinar series, attendees will learn about the foundations of survival analysis and hazard functions. In part 2, attendees will learn about time-varying and time-invariant predictors to more accurately predict when an event will happen. Hazard functions include the probability occurring at a discrete time, time-invariant predictors do not change over a specified period, and time-varying predictors help understand changes over a specified period.

Although attendees can solely attend the first webinar, it is highly recommended that you register for both webinars to receive the full benefits of learning how to use survival analysis.

Overall, attendees will leave these webinars with the ability to:

• Understand the fundamentals of survival analysis
• Understand survival and hazard functions, time-invariant predictors, and time-varying predictors
• Run and interpret survival analysis

These two webinars will cover the basics of discrete and continuous survival analysis.

Each part approved for 1.5 hours of CFLE continuing education credit. Series approved for 3.0 hours.