Analyzing Interval-Censored Survival Data (Generalized Linear Models)
When analyzing survival data with interval censoring—that is, when the exact time of the event of interest is not known but is known only to have occurred within a given interval—then applying the Cox model to the hazards of events in intervals results in a complementary log-log regression model.
Partial information from a study designed to compare the efficacy of two therapies for preventing the recurrence of ulcers is collected in ulcer_recurrence.sav. This dataset has been presented and analyzed elsewhere 1. Using generalized linear models, you can replicate the results for the complementary log-log regression models.
This example uses the stream named ulcer_genlin.str, which references the data file ulcer_recurrence.sav. The data file is in the Demos folder and the stream file is in the streams subfolder.