Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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| CE_23C | Tue, 8/6/2013, 8:30 AM - 5:00 PM | W-St. Antoine B | |
| Analysis of Interval-Censored Survival Data — Continuing Education Course | |||
| ASA , Biometrics Section | |||
| Instructor(s): Philip Hougaard, Lundbeck | |||
| Interval-censored survival data occur when the time to an event is assessed by means of blood samples, X-ray or other screening methods that cannot tell the exact event time, but only whether the event has happened since the previous examination. Interval censoring methods are needed for considering onset and diagnosis as distinct quantities, like when considering screening in order to diagnose a disease earlier. Even though such data are common and non-parametric methods were suggested more than 25 years ago, they are still not in standard use. One reason for the low use is that analysis is technically more complicated than standard survival methods. The course will give an introduction to such data, including a discussion of the issues. Parametric, nonparametric and proportional hazards models will be covered. Statistical theory will be balanced with applications emphasizing differences to standard right-censored survival data. Applications are based on literature examples as well as personal experience regarding development of microalbuminuria among Type 2 diabetic patients. Extension to more complex data (like truncated data and disease data in the presence of mortality) will also be considered, but with fewer details. Prerequisite: Standard methods for right-censored survival data | |||
2013 JSM Online Program Home
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