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Disease Risk Factors

Method to estimate disease risk developed

Published in Medical Letter on the CDC and FDA, April 24th, 2005

Scientists have developed a method for the efficient estimation of the risk of a disease by quantile-categories of a key predictor variable using generalized additive models.

According to a study from the United States, "Suppose that one wishes to make inference to the risk of a disease by the population quartile-categories of a key continuous predictor variable. When one collects data on a prospective cohort, the standard method is simply to categorize the key predictor variable by the empirical quartiles. One may then include indicator variables for these empirical quartile-categories as predictors, along with other covariates, in a generalized linear model (GLM),...

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