Critical Thinking - Lecture Twenty-Eight Flashcards
Confounding II
Controlling confounding in the study analyses
Stratification
Multivariable Analysis
Standardisation
Stratification
Calculating measure of association for each stratum of potential confounder and comparing them
Stratification steps
- Calculate the measure of association between exposure and outcome
- Divide potential confounder into strata (levels)
- For each stratum, calculate the measure of association between the exposure and outcome
- Compare stratum-specific measures of association
Strengths of stratification
Easy for small number of potential confounders with limited strata
Can evaluate impact of confounding
Can identify effect modification
Limitations of stratification.
Can leave residual confounding
Not feasible when dealing with lots of potential confounders with many strata
Multivariable analysis
Statistical method for estimating measure of association whilst controlling for multiple potential confounders
Potential issues: controlling in study analyses
Residual confounding
Can only control what you’ve measured
How much change indicates confounding?
10% or more
Effect modification
The association between exposure and outcome differs across strata of the effect modifier