kidney transplant.

kidney transplant.

A study is conducted to estimate survival in patients following kidney transplant. Key factors that adversly affect successof the transplant include advanced age and diabetes. This study involves 25 partipants who are 65 years of age and older and all have diabetes. Following transplant, each participant is following for up to 10 years. the following are times to death, in years, or the time to last contact (at which time the participants 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, 4-6, 6-8 and 8-10. Number at risk during interval, Nt Average number at risk during interval Nt-Nt-C1/2 Number of Deaths during interval, Dt Lost to follow-up, Ct Proportion dying Qt=Dt/Nt Proporttion Surviving pt=1-qt Survival probability St=pt*St=1

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