Bias Flashcards
What is a spurious relationship?
false cause-effect relationship between 2 variables when really there is a 3rd.
What is the 3rd variable in the spurious relationship called?
confounder variables
3 Criteria for being a confounder?
- confounder associated with outcome
- confounder associated with exposure
- exposure DOES NOT cause outcome THROUGH confounder
3 ways to reduce confounding when designing study
- restriction
- matching
- randomization
2 ways to reduce confounding when analyzing data
- stratification
2. multivar analysis
Restriction works how?
eliminate confounder by including it in BOTH groups.
Each group has smokers so smoking wont be confounder
Matching works how?
Allow different levels of confounding variable, but match them between groups. Heavy smoker A, heavy smoker in B etc.
Randomization works how?
Just allow people to join groups at random
Randomization advantage?
Will probably be about the same in each group, and take care of confounders we didnt htink of.
Randomization disadvantage?
Can get unlucky with distribution, and have more confounding on one side.
Can’t always randomly assign (can’t tell people to smoke, change their age etc).
Stratification works how?
during analysis, break people into different groups based on confounding variable (age, smoking habits)
Disadvantage to stratification?
have to defend a “cutoff” point you decide on for the strata
small sample size for each strata (might be very unequal)
Multivar analysis works how?
statistical methods (multiple regression)
Multivar analysis advantages?
inexpensive and can handle multiple confounders at once
Selection bias - whats wrong with population?
selection doesnt mimick population cuz of bias