Fig. 1
From: Survival prediction models: an introduction to discrete-time modeling
Example of a person-period data set (on right) created from continuous-time survival data (on left). In the timeline plot, circles indicate censoring and diamonds indicate events. The horizon of interest is w=5 and there are J=5 specified intervals defined as 1: A1=(t0,t1], 2: A2=(t1,t2], 3: A3=(t2,t3], 4: A4=(t3,t4], 5: A5=(t4,t5], whose endpoints are given by t0=0, t1=1, t2=2, t3=3, t4=4, t5=5. ID 1 experiences an event in interval 3 and thus in the person-period data set they have rows corresponding to the first three intervals and for the 3rd interval, their event status is a 1. ID 2 is censored in interval 4 and in the person-period data set they have row corresponding to the first 4 intervals and have an event status of 0 for all of them. ID 3 experiences the event at a time beyond the prediction horizon of interest, thus we administratively censor them at the prediction horizon and they have a row in the person-period for all intervals and have an event status of 0 for all of them