![]() However, it would not be feasible to experiment on the whole population, we would need to take a good sample and aim to reduce the risk of having errors by proper sampling technique. In other words, we want to find out if this is a true association, while still aiming for the minimum risk for errors such as: chance, bias or confounding. It is important to understand why we sample the population for example, studies are built to investigate the relationships between risk factors and disease. This tutorial will introduce sampling methods and potential sampling errors to avoid when conducting medical research.
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