confounder effect
potential confounder
controlling confounders
confounder analysis
addressing confounders
confounder bias
identifying confounders
the study failed to account for a major confounder: socioeconomic status.
researchers must identify and control for potential confounders in their analysis.
age acted as a confounder, obscuring the true relationship between exercise and health.
it's crucial to eliminate confounders to establish causality effectively.
the presence of a confounder can lead to spurious correlations.
statistical techniques can help control for the effects of a confounder.
we need to carefully consider possible confounders when interpreting the data.
lifestyle choices often introduce confounders into health-related research.
the researchers used regression analysis to adjust for the confounder of pre-existing conditions.
failure to address a confounder can bias the results of the experiment.
controlling for a confounder strengthens the validity of the study's findings.
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