L26-27: Confounding Flashcards
What are the 3 properties of potential confounders?
- independently associated with exposure
- independently associated with outcome
- not on the causal pathway
This is a mixing or muddling of effects when the relationship we’re interested in is confused by the effect of something else.
Confounding
What are the common 4 effects of confounding?
- 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
How do we identify potential confounders?
- 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)
What are the 3 ways to minimise confounding during the design phase?
- restriction
- randomisation
- matching
What are the 3 limitations of randomisation?
- does not work well with a small population
- need clinical equipoise
- need intention-to-treat analysis
What are the 4 limitations of restriction?
- reduce generalisability
- reduce number of potential participants
- residual confounding
- only one potential confounder can be restricted
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.
Matching
What are the 3 ways to control for confounding in the analysis phase?
- multivariable analysis
- stratification
- standardisation
What are the benefits of stratification? (3)
- good for small number of potential confounders
- can evaluate impact of confounding
- identify effect modification
What are the limitations of stratification?
- can leave residual confounding
- not good for multiple potential confounders
This is a statistical method for estimating measure of association whilst controlling for multiple potential confounders.
Multivariable analysis
Which method of controlling for confounding is most suitable for analytic studies?
Multivariable analysis
This happens when the association between exposure and outcome differs across strata of the effect modifier. (so different MoA across strata shows this)
Effect modification