Confounder (Data Science): Revision history

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    29 November 2024

    • curprev 00:3200:32, 29 November 2024Fortify talk contribs 3,025 bytes +3,025 Created page with "'''Confounder''' is a variable that influences both the dependent variable and one or more independent variables, potentially leading to a spurious association or bias in the analysis. In data science, identifying and addressing confounders is crucial to ensure the validity of causal inferences and statistical models. ==Overview== Confounders introduce bias by creating a false relationship between the variables of interest. If not properly controlled, they can lead to in..." Tag: Visual edit