How to control confounding effects by statistical analysis.
Abstract
A Confounder is a variable whose presence affects the variables being studied so that the results do not reflect the actual relationship. There are various ways to exclude or control confounding variables including Randomization, Restriction and Matching. But all these methods are applicable at the time of study design. When experimental designs are premature, impractical, or impossible, researchers must rely on statistical methods to adjust for...
Paper Details
Title
How to control confounding effects by statistical analysis.
Published Date
Jan 1, 2012
Journal
Volume
5
Issue
2
Pages
79 - 83
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