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Calculating the review informatin size when effects are large
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User-entered data
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Threshold for small effect (MID) 0.02
Enter threshold as proportion
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Threshold for moderate effect 0.05
Enter threshold as proportion
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Threshold for large effect 0.09
Enter threshold as proportion
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Baseline risk0.1
Enter baseline risk as proportion
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Type I error (alpha)0.05
Enter type 1 error (typically 0.05)
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Power0.8
Enter power power (typically 0.8)
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Review size (total number of participants)200
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The true risk difference must lie in the large range (i.e., be equal to Large + ∆)
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Some possibilities for Large + based on the thresholds above:
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Option 1Large + small effect (MID)0.11
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Option 2Large + (Moderate - small effect (MID))0.12
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Option 3Large + Moderate0.14
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Option 4Large + (Large - small effect (MID))0.16
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Option 5Large + (Large - Moderate)0.13
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Option 6Large + Large0.18
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Type in your assumed true risk difference0.11
Choose the scenario and enter the value
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IMPORTANT: the recommended strategy is to specify an "assumed true risk difference" = Large + small effect (MID) (i.e. Scenario 1)
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Results of RIS calculation
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ThresholdSample size to rule outGRADE action
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Small (MID)496Rate down
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Moderate effect1,116Rate down
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Large effect10,044Rate down
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Summary GRADE imprecision ratingRate down three levels
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