Skip to main content

Table 2 The integrated loss of lifetime bias in the Weibull scenario, computed by integrating |D(t)| from 0 to 15 years

From: Estimating the loss of lifetime function using flexible parametric relative survival models

Age

Scenario

pi

Model A

Model B

Model C

Model D

Model E

50

1

0.40

8.6(0.9-39.2)

2.4(0.5-10.7)

4.1(0.9-19.5)

2.4(0.2-18.5)

2.6(0.3-28.6)

 

2

0.40

28.9(5.5-66.9)

11.7(6.0-23.1)

12.7(3.7-35.3)

11.1(0.6-68.0)

9.3(0.7-52.1)

 

3

0.75

8.9(0.7-42.7)

8.9(4.3-15.6)

4.8(0.9-16.4)

7.5(0.5-31.5)

7.2(0.2-23.9)

 

4

0.00

6.5(0.3-34.5)

144.8(123.4-171.2)

37.2(8.9-82.1)

24.9(0.3-111.8)

18.1(0.2-104.6)

 

5

0.00

11.0(0.2-43.3)

25.4(14.8-35.4)

13.0(3.2-31.0)

12.8(0.4-33.8)

9.6(0.3-30.9)

 

6

0.00

18.1(0.5-65.4)

106.6(71.6-127.7)

49.2(7.9-92.4)

36.2(0.6-103.7)

23.9(0.2-89.4)

60

1

0.40

6.0(1.3-19.4)

1.9(0.4-8.0)

3.1(0.6-13.5)

2.1(0.2-14.7)

2.4(0.2-17.6)

 

2

0.40

14.9(2.6-45.4)

6.4(3.4-14.9)

7.7(2.0-26.2)

7.7(0.6-40.2)

6.6(0.2-42.5)

 

3

0.75

7.2(0.4-39.6)

4.2(1.9-10.0)

4.0(0.4-22.7)

5.4(0.3-28.2)

4.7(0.3-19.6)

 

4

0.00

5.7(0.3-24.1)

79.5(64.6-93.2)

21.0(6.1-44.4)

14.2(0.3-62.4)

10.2(0.1-49.8)

 

5

0.00

7.5(0.3-33.4)

10.7(5.1-18.1)

5.6(1.5-18.6)

7.2(0.5-26.0)

5.0(0.2-17.9)

 

6

0.00

10.9(0.6-37.3)

48.2(36.4-61.2)

18.5(4.1-42.5)

16.8(1.2-50.9)

11.2(0.3-45.3)

70

1

0.40

3.6(0.9-12.4)

1.5(0.2-4.8)

2.2(0.4-7.3)

1.7(0.1-8.8)

2.0(0.1-12.9)

 

2

0.40

6.2(1.2-20.8)

3.4(1.5-8.8)

4.0(0.9-14.2)

4.7(0.3-19.4)

4.3(0.3-19.2)

 

3

0.75

4.9(0.3-20.6)

2.4(0.8-7.0)

3.3(0.3-12.9)

3.6(0.2-19.0)

2.8(0.2-11.2)

 

4

0.00

4.3(0.3-16.1)

34.9(26.9-44.4)

9.6(3.5-23.3)

7.3(0.2-31.3)

5.7(0.1-27.5)

 

5

0.00

5.3(0.4-25.2)

3.9(1.7-8.9)

3.5(0.6-14.8)

4.3(0.2-18.5)

2.9(0.1-10.5)

 

6

0.00

6.0(0.3-21.7)

16.5(9.9-23.8)

6.2(1.8-16.6)

6.9(0.2-23.7)

5.1(0.2-17.4)

  1. The loss of lifetime was computed for 50-, 60-, and 70-year-old patients. The mean and range from the 500 simulations are provided