B7.070 Prework 1: Regression Modeling Flashcards
confounding variation
caused by variables outside the researcher’s control or consideration can distort our perception of the relationship
any alternative explanation for an observed relationship
when is confounding a major concern?
observational studies
-results in biased estimation of exposure effects
type 1 error
can identify effect when none exists
type 2 error
hides a true effect
regression models
flexible way of investigating the separate or joint effects of several factors on a disease or outcome
-factors may include exposures and confounders of the exposure-outcome relationship
methods for dealing with confounders outside of regression modeling
stratification based methods
propensity scores