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5 Cards in this Set
- Front
- Back
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How to determine whether weakness/errors are a likely major cause of bias |
Sensitivity analysis |
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Why is random error common in most studies |
Small number of disease out comes |
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Meta analysis |
Combine studies mathematically to form a summary estimate of effect |
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Most studies are too small to produce precise estimates of disease frequency and measures of association and effect. How would you reduce random error on estimates on effect? |
Meta analysis |
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Why is it important to have a comparison group |
Comparison group is hardly ever disease free. E.g. non drinkers also have road traffic injuries, not just drinkers. Traffic injuries among drinkers, not necessarily caused by alcohol. (Can be caused by another confounding factor). |
