Statistics for Categorical Data: Odds Ratios and Chi-Square
Statistics for Categorical Data: Odds Ratios and Chi-Square
Working Ahead—Final Project
I need the outline(1 page) and the paper(1 page)analyze an article that presents the statistical analysis of a pertinent topic of public health interest or importance.
Using the search and identify a peer-reviewed biostatistical article in the above-mentioned area. Research the topic thoroughly.
On the basis of biostatistical methods, analyze the article and its findings.
Start working on creating an outline for your paper to be submitted for evaluation in
Week 5. The following is a list of points you should consider in your outline:
- Were the correct data used for the questions asked?
- Were the correct data available? Statistics for Categorical Data: Odds Ratios and Chi-Square.
- Were the correct statistics used for the data available?
- What other data might you want to collect and why?
- Do the statistical findings support the author\’s conclusions?
Week 3: Project Assignment
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
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:
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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. Statistics for Categorical Data: Odds Ratios and Chi-Square.
Note: You do not need to use the Minitab software to complete this assignment.
In a Microsoft Excel worksheet, calculate the odds of having gastric cancer.
In addition, provide a written interpretation of your results in APA format.
Refer to the Assignment Resources: Odds Ratio to view an example of odds ratio. The same resource is also available under lecture Testing Hypotheses.
Submission Details:
- Name your worksheetxls.
- Name your document doc.
- Submit your document to the Submissions Areaby the due date assigned.
Part 2: Chi-Square
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. Statistics for Categorical Data: Odds Ratios and Chi-Square.
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.
Using the Minitab procedure, enter the data, perform appropriate procedures, and provide calculations from the table.
In addition, in a Microsoft Word document, provide a written interpretation of your results in APA format. Statistics for Categorical Data: Odds Ratios and Chi-Square.