B7.070 Prework 1: Regression Modeling Flashcards

1
Q

confounding variation

A

caused by variables outside the researcher’s control or consideration can distort our perception of the relationship
any alternative explanation for an observed relationship

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2
Q

when is confounding a major concern?

A

observational studies

-results in biased estimation of exposure effects

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3
Q

type 1 error

A

can identify effect when none exists

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4
Q

type 2 error

A

hides a true effect

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5
Q

regression models

A

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

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6
Q

methods for dealing with confounders outside of regression modeling

A

stratification based methods

propensity scores

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