26. Errors and bias in epidemiological studies: Revision history

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22 November 2022

  • curprev 13:4213:42, 22 November 2022‎ Nikolas talk contribs‎ 3,147 bytes +3,147‎ Created page with "* Chance, bias, and confounding should be ruled out in order to talk about a valid statistical association ** A valid statistical association does not imply causation! ** For example, incidence of prostate cancer has increased recently, as have the sales of flat-screen TVs. But there is no causation * The two types of errors in epidemiology ** Type 1 error – when we conclude that there is a difference when in reality there is no difference *** To avoid type 1 errors, w..." Tag: Visual edit