Outbreak Exercise
Part II: Organizing SAS Output
a) Review the SAS output.
Please note the following:
CASE is a variable for being a case or control.
GENDER is if participant is a male or female.
AGE (years) is categorized into < 30, 30-39, 40-49, 50-59 years.
DROP is the variable for “Seen rodent droppings around or in home.” Values are
yes and no.
FIELD is the variable for “Work in a field.” Values are yes and no.
FLOOD is the variable for “Area within 1000 meters flooded.” Values are yes and no.
RAT-DENS = “Rate density scale” categories into few (which includes none), some, and more than usual.
PHARYN is having symptoms of sore throat or pharyngitis. Values are yes and no.
CONJ is having symptoms of hemorrhagic conjunctivitis. Values are yes and no.
ACHE is having symptoms of aches. Values are yes and no.
LAT is latitude.
LONG is longitude.
b) Make 2 tables. Make sure the tables can stand alone with descriptive titles (answering the questions of what, where, and when). Avoid abbreviations. If you must use them, explain what they are in the footnotes. Make sure you include units (e.g. years for age). One should show the number and percentage of cases and controls by each variable It is recommended that you use column percentages. Put the rows in a logical order (e.g. demographic variables first, then clinical ones and then exposures). Enter the p-value of the chi-square test.
The second table should be the output of the logistic regressions. Note that these will only include the demographic and exposure variables. In the second column you should put the crude odds ratios with the 95% confidence intervals, and in the third column the adjusted odds ratios with the 95% confidence intervals.
Table 1: EXAMPLE OF STRUCTURE FOR TABLE 1
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Characteristic
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Cases, n (%)
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Controls, n (%)
|
P-value
|
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Gender
Male
Female
|
|
|
|
|
Age group
< 30
30-39
40-49
50 and older
|
|
|
|
Table 2: EXAMPLE OF STRUCTURE OF TABLE 2
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Characteristic
|
Crude odds ratio (95% confidence interval)
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Adjusted odds ratio (95% confidence interval)
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P-value
|
|
Gender
Male
Female
|
|
|
|
|
Age group
<30
30-39
40-49
50 and older
|
|
|
|
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