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9 Cards in this Set
- Front
- Back
Small study size = [wide/narrow] CI
May still be increased risk, study is too small to detect it |
wide
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Large study = [wide/narrow] CI. but statistically significant risk may not be important biologically speaking
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narrow
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When we determine sample size/power, we must assume the [null/alternative] hypothesis
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null
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Null Hypothesis
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There is an association between E and D
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Type II Error is also called
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Beta
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TYPE I ERROR
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occurs when null is rejected and it should not be.
so we say there is an association when one does not really exist |
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TYPE II ERROR
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occurs when we fail to reject the null and the alternative is actually true.
it is related to POWER so we say there's no association, when there actually is one |
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POWER
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is the probability of rejecting null and concluding that htere is a stat sig difference between the study groups if one really exists
POWER = 1 - (beta) |
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What power is the accepted standard among epidemiologists?
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.20
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