Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure taking into account gender discordance?
Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points)
|
Gender Discordance |
Graft Failure |
No Graft Failure |
Total |
|
Diabetes II |
23 |
10 |
33 |
|
No Diabetes II |
4 |
44 |
48 |
|
Total |
27 |
54 |
81 |
|
Gender Concordance |
Graft Failure |
No Graft Failure |
Total |
|
Diabetes II |
9 |
34 |
43 |
|
No Diabetes II |
12 |
87 |
99 |
|
Total |
21 |
121 |
142 |
A) Calculate the stratum specific estimates for the odds ratios in each strata.
B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure taking into account gender discordance?
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