Biostats Logistic Regression SPSS

Table 2:

	Survival Status
Disease Severity	Donor’s Sex	Alive	Dead	Total
None	Female	14	1	15
	Male	21	2	23
Mild	Female	17	1	18
	Male	40	2	42
Moderate	Female	15	1	16
	Male	33	6	39
Severe	Female	6	1	7
	Male	16	17	33
Total		162	31	193

2. Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity ?.

A)Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio?

B)Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis?

C)Why is it important to know the effect of severity on the association of gender and survival?

3. Perform a simple logistic regression using SPSS and the Wk 6 Dataset (SPSS document). Answer the following questions based on your SPSS output

A)Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio ?

B)How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response?

C)What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) ?