Confounding Flashcards

0
Q

Magnitude of confounding equation

A

= (RR crude - RR adjusted) / RR adjusted

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1
Q

confounding definition

A

the mixing of effects between an exposure, an outcome, and a 3rd extraneous variable

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2
Q

Positive confounding

A

True RR is 1.0, confounded RR is 2.0

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3
Q

Negative confounding

A

True RR is 3.0, confounded RR is 2.0

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4
Q

confounding by indication

A

treatments are given to individuals with a particular disease, therefore a mixing of effects between the treatment, the disease for which the treatment is given, and the outcome under study

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5
Q

confounding by severity

A

the severity of the disease is the potential confounder

makes the therapy appear less effective in obs studies compared to exp studies

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6
Q

3 main ways to control confounding in the design stage

A

randomization, restriction(limiting who may participate in the study) BUT makes difficult to find subjects and limits generalizability, matching (making study and comparison groups similar w/respect to extraneous factors) BUT is expensive, can overmatch

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7
Q

3 main ways to control confounders in analysis stage

A

standardization, stratification, and multivariate methods

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8
Q

Residual confounding

A

confounding that remains even after many confounding variables have been controlled

may arise from uncollected data, persistent differences in risk within a category of a confounder, and when the confounder is misclassified

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9
Q

Effect measure modification

A

change in the strength of an association between an exposure and disease according to the level of a 3rd variable

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10
Q

3 criteria that need to be fulfilled to be a potential confounder

A

variable needs to be associated with the exposure
variable needs to be associated with the outcome/disease
variable is not an intermediate in causal pathway between exposure and outcome

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11
Q

What is the purpose of controlling for confounding?

A

to get a more precise estimate of the true association between the exposure and the disease/outcome

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12
Q

what 3 aspects of a study must be evaluated before declaring a statistical association?

A

confounding/effect modification, bias, stratified significance

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