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. See the topic Sample Files for more information. This dataset has been presented and analyzed elsewhere¹. Using the Generalized Linear Models procedure, you can replicate the results for the complementary log-log regression models.

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