Skip to main content

Table 1 Demonstration of continuous and discrete time-to-event survival formats

From: Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006

Part I: Continuous time-to-event format
Person
(i)
Date of birth Date of interview
(t0i)
Data of death or censored
(t1i)
Discretized time period Follow-up (years)
(Ti)
Age at interview (years)
(age at t0i)
Calendar year at interview
(year at t0i)
Event status
(1 = died)
(0 = lived)
(Di)
Sex
(1 = Male)
(0 = Female)
A 10/01/1929 02/06/2000 08/08/2003 --- 3.5 70.3 2000 1 1
B 11/07/1932 07/02/2003 12/31/2006 --- 3.5 70.7 2003 0 0
Part II: Discrete time-to-event format
Person (i) & time period (j) Date of birth Date of interview
(t0ij)
Data of death or censored
(t1ij)
Discretized time period
(ij)
Year of follow-up
(Tij)
Age at the beginning of year of follow-up Calendar year during follow-up
(year at ij)
Event status
(1 = died)
(Dij)
Sex
(1 = Male)
(0 = Female)
A1 10/01/1929 02/06/2000 12/31/2000 1 0.9 70.2 2000 0 1
A2   01/01/2001 12/31/2001 2 1.0 71.2 2001 0 1
A3   01/01/2002 12/31/2002 3 1.0 72.2 2002 0 1
A4   01/02/2003 08/08/2003 4 0.6 73.2 2003 1 1
B1 11/07/1932 07/02/2003 12/31/2003 1 0.5 70.1 2003 0 0
B2   01/01/2004 12/31/2004 2 1.0 71.1 2004 0 0
B3   01/01/2005 12/31/2005 3 1.0 72.1 2005 0 0
B4   01/01/2006 12/31/2006 4 1.0 73.1 2006 0 0