L26-27: Confounding Flashcards

1
Q

What are the 3 properties of potential confounders?

A
  • independently associated with exposure
  • independently associated with outcome
  • not on the causal pathway
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2
Q

This is a mixing or muddling of effects when the relationship we’re interested in is confused by the effect of something else.

A

Confounding

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3
Q

What are the common 4 effects of confounding?

A
  • over-estimation of true association
  • under-estimation of true association
  • change direction of true association (risk factor becomes protective factor and vice versa)
  • give appearance of an association when there isn’t one
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4
Q

How do we identify potential confounders?

A
  • use literature to identify known and suspected risk factors (property 1: look for risk factors with exposure)
  • collect info on factors strongly associated with outcome (property 2: look for strongly associated factors, protective or risk, with outcome)
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5
Q

What are the 3 ways to minimise confounding during the design phase?

A
  • restriction
  • randomisation
  • matching
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6
Q

What are the 3 limitations of randomisation?

A
  • does not work well with a small population
  • need clinical equipoise
  • need intention-to-treat analysis
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7
Q

What are the 4 limitations of restriction?

A
  • reduce generalisability
  • reduce number of potential participants
  • residual confounding
  • only one potential confounder can be restricted
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8
Q

This controls for confounding by choosing people to make the control/comparison group have the same composition as the case/exposed group regarding potential confounder.

A

Matching

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9
Q

What are the 3 ways to control for confounding in the analysis phase?

A
  • multivariable analysis
  • stratification
  • standardisation
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10
Q

What are the benefits of stratification? (3)

A
  • good for small number of potential confounders
  • can evaluate impact of confounding
  • identify effect modification
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11
Q

What are the limitations of stratification?

A
  • can leave residual confounding
  • not good for multiple potential confounders
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12
Q

This is a statistical method for estimating measure of association whilst controlling for multiple potential confounders.

A

Multivariable analysis

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13
Q

Which method of controlling for confounding is most suitable for analytic studies?

A

Multivariable analysis

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14
Q

This happens when the association between exposure and outcome differs across strata of the effect modifier. (so different MoA across strata shows this)

A

Effect modification

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