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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