Main content

Home

Menu

View
Wiki Version:
Time-to-Event: Survival Analysis ------------------------------------------------- > RSVP for all sessions at: [Stat Studio on Eventbrite][1] - 2018, March 16th 10:00-noon, EDUC 454 by Sarah Schwartz In some situations, we are most concerned with monitoring participants to see if an event like death or relapse occurs, yet due to time constraints, attrition, and other factors some participants are censored (eg. KM plots and Cox Regression). [1]: http://statstudio_cehs_usu.eventbrite.com
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.

Copyright © 2011-2024 Center for Open Science | Terms of Use | Privacy Policy | Status | API
TOP Guidelines | Reproducibility Project: Psychology | Reproducibility Project: Cancer Biology