Measures of Effect for Crude Analysis
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Measures of Effect for Crude Analysis book
Measure of effect describe the effect on the occurrence of disease of a certain exposure. The basic measure of occurrence of disease is the incidence rate, which is why the basic measure of effect is either the difference or the ratio between incidence rates. Measures of effect based on the cumulative incidence also have an important function and even measures of effect based on prevalence can give useful information in certain situations. This chapter looks at crude data, that is data which are not stratified according to sex, age, smoking, or anything else. The cumulative incidence is the number who get the disease in relation to the number who are at risk of getting the disease at the beginning of the observation period. The statistical analysis of a relative risk based on cumulative incidence follows the same pattern as for incidence rates; the important difference is that the basic probability model for cumulative incidence is the binomial distribution.