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The data below is from a hypothetical case-control study examining the relationship between throat cancer (outcome) and smoking history (exposure), categorized as never vs. ever
The data below is from a hypothetical case-control study examining the relationship between throat cancer (outcome) and smoking history (exposure), categorized as never vs. ever smoking.
Throat Cancer (Case) | No Throat Cancer (Control) | |
Ever smoked | A 40 | B 20 |
Never smoked | C 100 | D 300 |
- What is the odds ratio of ever smoking comparing individuals with versus without throat cancer?
- The data given in the table above is the "true" data (i.e., no misclassification). Suppose 20% of exposed persons (ever smokers) were misclassified as being non-exposed (never smokers) and 10% of non-exposed persons (never smokers) were misclassified as being exposed (ever smokers). Create a new 2x2 table for this scenario of misclassification.
Throat Cancer (Case) | No Throat Cancer (Control) | |
Ever smoker | ||
Never smoker |
- Using the new 2x2 table created under the scenario of misclassification,what is the odds ratio of ever smoking comparing individuals with versus without throat cancer?
- Is this an example of differential or non-differential misclassification? Explain briefly.
- Does the difference between the true OR and the OR under the scenario of misclassification match what you would expect based on your answer to (d)?
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