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(Solved by Expert Tutors)Week 8 Problems?30 points

15 points each. Place answers within the


Week 8 Problems?30 points

15 points each. Place answers within the Word document below.

1. A study is conducted to estimate survival in patients following kidney transplant. Key factors that adversely affect success of the transplant include advanced age and diabetes. This study involves 25 participants who are 65 years of age and older and all have diabetes. Following transplant, each participant is followed for up to 10 years. The following are times to death, in years, or the time to last contact (at which time the participant was known to be alive).

Deaths:????? 1.2, 2.5, 4.3, 5.6, 6.7, 7.3 and 8.1 years

Alive:??????? 3.4, 4.1, 4.2, 5.7, 5.9, 6.3, 6.4, 6.5, 7.3, 8.2, 8.6, 8.9, 9.4, 9.5, 10, 10, 10, and 10 years

Use the life table approach to estimate the survival function. Use years intervals of

0?2; 2?4;

Complete the table below.

Interval

in

Years

Number At Risk During Interval,

Nt

Average Number At Risk During Interval,

Nt* -Ct /2

Number of Deaths During Interval,

Dt

Lost to Follow-Up,

Ct

Proportion Dying

qt = Dt/Nt*

Proportion Surviving

pt = 1-qt

Survival Probability

St? = pt*St-1

0?2

25

25

1

0

0.0400

0.9600

0.9600

2?4

24

23.5

1

1

0.0426

0.9574

0.9191

4?6

22

20

2

4

0.1000

0.9000

0.8272

6?8

16

14

2

4

0.1429

0.8571

0.7091

8?10

10

5.5

1

9

0.1818

0.8182

0.5801

Use the Kaplan-Meier approach to estimate the survival function.

Complete the table below

Time, Years

Number at Risk

Nt

Number of Deaths

Dt

Number Censored

Ct

Survival Probability

St+1 = St*((Nt-Dt)/Nt)

0

25

1

1.2

25

1

0.96

2.5

24

1

0.92

3.4

23

1

0.92

4.1

22

1

0.92

4.2

21

1

0.92

4.3

20

1

0.874

5.6

19

1

0.828

5.7

18

1

0.828

5.9

17

1

0.828

6.3

16

1

0.828

6.4

15

1

0.828

6.5

14

1

0.828

6.7

13

1

0.764

7.3

12

1

1

0.701

8.1

10

1

0.631

8.2

9

1

0.631

8.6

8

1

0.631

8.9

7

1

0.631

9.4

6

1

0.631

9.5

5

1

0.631

10.0

4

4

0.631

Referring to the graph above:

What is the probability of surviving 6.5 years?

  • 0.35
  • 0.15
  • 0.99
  • 0.90

Patients have an 85% chance of surviving how many years?

  • 6.0
  • 4.25
  • 3.2
  • 5.5

 


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DATE ANSWERED

Apr 19, 2020

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