To what extent does follow-up time after hospitalization influence survival rate
ID: 3143533 • Letter: T
Question
To what extent does follow-up time after hospitalization influence survival rates of MI patients? Please help interpret the data:
Two sample Z confidence interval:
1 : Mean of Short follow-up tim (Std. dev. not specified)
2 : Mean of Long follow-up time (Std. dev. not specified)
1 - 2 : Difference between two means
95% confidence interval results:
Difference
n1
n2
Sample mean
Std. err.
L. limit
U. limit
1 - 2
53
47
0.64110799
0.077551773
0.48910931
0.79310667
Difference
n1
n2
Sample mean
Std. err.
L. limit
U. limit
1 - 2
53
47
0.64110799
0.077551773
0.48910931
0.79310667
Explanation / Answer
Just to give an idea of what is being asked in the question :
It is a "non parametric test" . why? because the 2 samples sizes are unequal.
The hypothesis being tested is whether hospitalization infliuence survival rates.
The answer is a YES. This is because the p-value with the test is <.0001 or there exists significant difference between survival rates ( Mu1 and Mu2). Hence, we conclude that hospitalization does influence survival rates of MI patients
To what extent? The numbers show a difference is survival rates of 0.6411.
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