Survival analysis: An introduction
Date
43216
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Justice Research and Statistics Association
Abstract
Criminal Justice agencies are often interested in events that occur within specific time frames, or in how long it takes for an event to occur. A prime example is the length of time to recidivism among program participants, and whether the length of time is different for different groups, or whether factors like age, gender, or educational status impact the length of time to recidivate. This webinar will introduce attendees to Survival Analysis; a set of methods that are utilized when the outcome variable is a time measured event. This webinar examines the use of the Kaplan Meier survival function, which graphs survival curves for groups of subjects. More advanced techniques, specifically Cox proportional hazard regression models will be examined, which allow for the estimation of the effects of co-variates on survival time. This presentation is user friendly and focuses largely on how to conduct survival analyses.
Presenter:
Daniel O'Connell, Ph.D.
Senior Scientist, Center for Drug and Health Studies and Assistant Professor of Criminal Justice
University of Delaware
Moderator:
Erin Farley, Ph.D.
Research Associate
Justice Research and Statistics Association
Description
Webinar
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Video
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Keywords
Survival Analysis, Recidivism, Quantitative Data/Analysis, Recidivism, Quantitative Data, Quantitative Analysis