Translations:Advanced Field Epi:Manual 1 - Disease Investigation/143/en: Perbedaan revisi

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The numeric value of the RR is a measure of the strength of association between the risk factor and disease. If possible the 95% confidence interval for the RR should be examined. If the confidence interval does not overlap one then we can be more confident that the association may be meaningful. A statistical test and p-value will provide similar information – telling you whether the RR is statistically different to one.
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The numeric value of the RR is a measure of the strength of association between the risk factor and disease. If possible the 95% confidence interval for the RR should be examined. If the confidence interval does not overlap one then we can be more confident that the association may be meaningful. A statistical test and p-value will provide similar information - telling you whether the RR is statistically different to one.

Revisi terkini pada 10 Mei 2015 14.46

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The numeric value of the RR is a measure of the strength of association between the risk factor and disease. If possible the 95% confidence interval for the RR should be examined. If the confidence interval does not overlap one then we can be more confident that the association may be meaningful. A statistical test and p-value will provide similar information - telling you whether the RR is statistically different to one.
TerjemahanThe numeric value of the RR is a measure of the strength of association between the risk factor and disease. If possible the 95% confidence interval for the RR should be examined. If the confidence interval does not overlap one then we can be more confident that the association may be meaningful. A statistical test and p-value will provide similar information - telling you whether the RR is statistically different to one.

The numeric value of the RR is a measure of the strength of association between the risk factor and disease. If possible the 95% confidence interval for the RR should be examined. If the confidence interval does not overlap one then we can be more confident that the association may be meaningful. A statistical test and p-value will provide similar information - telling you whether the RR is statistically different to one.

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