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In causal models, controlling for a variable means binning data according to measured values of the variable. This is typically done so that the variable can no longer act as a confounder in, for example, an observational study or experiment.
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Explore the main themes, entities and connections around Controlling for a variable. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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variables variable control independent effect controlling one dependent confounder explanatory may causal confounders also observational experiment regression must study needed
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These clusters group vocabulary that occurs around closely connected concepts in the source material.
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