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==Ratio measures==
 
==Ratio measures==
Although correlation coefficients are commonly used in statistical studies, epidemiological investigations often deal with binary exposures and outcomes (such as presence or absence of a proposed risk factor for disease, and presence or absence of disease itself). Therefore, '''ratio measures''' such as the '''prevalence ratio''', the '''risk ratio''', the '''rate ratio''' and the '''odds ratio''' are more commonly used as measures of strength of association in these studies.
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Although correlation coefficients are commonly used in statistical studies, epidemiological investigations often deal with binary exposures and outcomes (such as presence or absence of a proposed risk factor for disease, and presence or absence of disease itself). Therefore, '''ratio measures''' such as the '''prevalence ratio''', the '''risk ratio''', the '''rate ratio''' and the '''odds ratio''' are commonly used as measures of strength of association in epidemiological studies.<br>
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Understanding how these measures are calculated is best approached using a contingency table (also known as a cross tabulation), as shown here. In the columns, the individuals are divided into exposed and unexposed, whilst in the rows, individuals are divided into those who are diseased and those who are not diseased.  
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{| class="wikitable"
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|-
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| Disease status || Exposed || Unexposed || Total
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|-
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| Diseased || a<sub>1</sub> || a<sub>0</sub> || Example
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|-
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| Non-diseased || b<sub>1</sub> || b<sub>0</sub> || Example
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|-
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| Total || n<sub>1</sub> || n<sub>0</sub> || n
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|}
     
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