To what extent does follow-up time after hospitalization influence survival rate

Question

To what extent does follow-up time after hospitalization influence survival rates of MI patients? Please help interpret the data:

A) Two sample Z hypothesis test:
1 : Mean of Short follow-up time (Std. dev. not specified)
2 : Mean of Long follow-up time (Std. dev. not specified)
1 - 2 : Difference between two means
H0 : 1 - 2 = 0
HA : 1 - 2 0

Hypothesis test results:

Difference

n1

n2

Sample mean

Std. err.

Z-stat

P-value

1 - 2

53

47

0.64110799

0.077551773

8.2668386

<0.0001

Difference

n1

n2

Sample mean

Std. err.

Z-stat

P-value

1 - 2

53

47

0.64110799

0.077551773

8.2668386

<0.0001

Explanation / Answer

Hi,

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.

Related Questions

Navigate

• Browse (All)
• Browse T
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.