lecture 27 - confounding Flashcards
1
Q
what is stratification
A
calculating measure of association for each stratum of potential confounder and comparing them
2
Q
what is the basic recipe for stratification
A
- calculate measure of association between exposure and outcome - before done anything to control for confounding
- divide your potential confounder into strata (levels)
- for each stratum calculate the measure of association between the exposure and outcome (stratum specific measure of association)
- compare the stratum specific measures of association to the pre measure of association
3
Q
what are the pros to stratification
A
- easy for small number of potential confounders with limited strata
- can evaluate impact of confounding
- can identify effect of modification
4
Q
what are the limitations to stratification
A
- can leave residual confounding
- not feasible when dealing with lots of potential confounders with many strata
5
Q
what is multivariable analysis
A
statistical method for estimating measure of association whilst controlling for multiple potential confounders
- can work in situations when stratification cant
6
Q
when might standardisation be used
A
- when age structures are different
- when disease risk varies by age
7
Q
how much chance indicates confounding
A
general guideline is if controlling or confounding changes the measure of association by 10% or more from the crude value
8
Q
what is effect modification
A
the association between exposure and outcome differs across strata of the effect modifier