1 Survival Data
Survival analysis is the statistics of time until something happens: death after a diagnosis, relapse after treatment, failure of a machine, the end of a spell of unemployment, the default of a loan. Such data look simple, a single positive number for each subject, but they have a feature that ordinary methods cannot handle: for many subjects the event has not happened by the time the study ends, so their times are only partly known. This section describes survival data, the kinds of incompleteness they have, and why that incompleteness changes the methods we must use.
1.1 Time-to-event data
1.2 Censoring
1.3 Why ordinary methods fail
1.4 Recording survival data
1.5 Survival data in software
1.6 Practice Problems
1.2 Censoring
1.3 Why ordinary methods fail
1.4 Recording survival data
1.5 Survival data in software
1.6 Practice Problems
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