Epidemiology Matters: A New Introduction to Methodological by Sandro Galea, Katherine M. Keyes

By Sandro Galea, Katherine M. Keyes

Epidemiology issues deals a brand new method of figuring out and opting for the motives of sickness - and with it, tips to hinder sickness and increase human wellbeing and fitness. using visible causes and examples, this article presents an available, step by step advent to the basics of epidemiologic examine, from layout to research. throughout fourteen chapters, Epidemiology issues teaches the person knowledge that underlie the behavior of an epidemiologic research: deciding on populations; measuring exposures and overall healthiness signs; taking a pattern; estimating institutions among exposures and healthiness signs; assessing facts for factors operating jointly; assessing inner and exterior validity of effects. With its consequentialist technique - designing epidemiologic reviews that objective to notify our figuring out, and for this reason increase public future health - Epidemiology issues is an introductory textual content for the following iteration of scholars in medication and public healthiness.

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Extra info for Epidemiology Matters: A New Introduction to Methodological Foundations

Example text

Given these three points, we can now put a bound around the sample proportion that quantifies our uncertainty due to sampling variability by estimating the standard error. As we see in the preceding formula for standard error, this measure of variability is determined by two principal factors—the proportion in the sample and the sample size. Sample size is central to quantifying uncertainly around our estimates. In the situation in which the population is 20 people, would we feel more confident in an estimate that comes from a sample of 4 people or a sample of 15?

The sample of 15 is more likely to be representative of the underlying population than the sample of 4 because it contains more of the population. The larger the sample size, the smaller the amount of uncertainty we have in the sample estimate we have drawn about that population. Why are we discussing this?

Thus, we do not have a collection of individuals but rather a collection of eligible time contributed by each member of the population who meets the eligibility criteria for at least some period of time. Within the context of the particular study, the eligibility criteria can be defined such that the population is either dynamic or stationary. That is, studies with dynamic eligibility criteria for the population of interest include those that allow movement in and out. Populations with dynamic entry and exit are commonly those in which eligibility is defined by a time period and a geographic location.

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