Reference no: EM13564156

Statistics for Categorical Data: Odds Ratios and Chi-Square

This assignment focuses on categorical data. Two of the statistics most often used to test hypotheses about categorical data are odds ratios (ORs) and the chi-square. The disease-OR refers to the odds in favor of disease in the exposed group divided by the odds in favor of the unexposed group. Chi-square statistics measure the difference between the observed counts and the corresponding expected counts. The expected counts are hypothetical counts that would occur if the null hypothesis were true.

Part 1:   ORs Assignment:

A study conducted by López-Carnllo, Avila, and Dubrow (1994) investigated health hazards associated with the consumption of food local to a particular geographic area, in this case chili peppers particular to Mexico. It was a population-based case-control study in Mexico City on the relationship between chili pepper consumption and gastric cancer risk. Subjects for the study consisted of 213 incident cases and 697 controls randomly selected from the general population. Interviews produced the following information regarding chili consumption:

Table 1: Chili Pepper Consumption and Gastric Cancer Risk

Chili pepper consumption	Case of gastric cancer	Controls
Yes	A = 204	B = 552
No	C = 9	D = 145

Reference:

López-Carnllo, L., Avila, M. H., & Dubrow, R. (1994). Chili pepper consumption and gastric cancer in Mexico: A case-control study. American Journal of Epidemiology, 139(3), 263-271.

Note: You do not need to use the Minitab software to complete this assignment.

 Then Part 2:   Chi-Square Assignment:

Bain, Willett, Hennekens, Rosner, Belanger, and Speizer (1981) conducted a study of the association between current postmenopausal hormone use and risk of nonfatal myocardial infarction (MI), in which 88 women reporting a diagnosis of MI and 1,873 healthy control subjects were identified from a large population of married female registered nurses aged thirty to fifty-five years. To test the hypothesis that there is no association between use of postmenopausal hormones and risk of MI, chi-square statistics need to be calculated.

The data are presented as follows:

Table 2: Association between Postmenopausal Hormone Use and Risk of Nonfatal MI

	Cases	Controls	Total
Currently use	32	825	857
Never use	56	1,048	1,104
Total	88	1,873	1,961

Reference:

Bain, C., Willett, W., Hennekens, C. H., Rosner, B., Belanger, C., & Speizer, F. E. (1981). Use of postmenopausal hormones and risk of myocardial infarction. Circulation, 64(1), 42-46.