Chapter 14: From Association to Causation Flashcards
What is causality?
Causality is the relationship between two events or variables.
What study design does epidemiologist use?
They use natural experiments.
Why is natural experiments ethical?
Natural experiments are ethical because you are observing someone who presently has the disease how they are affected by the disease rather than having to affect people with disease just to study how it affects them.
What is real association?
Demonstrates that there is a causal association: association of exposure and the exposure that includes development of the disease.
What is spurious association?
Demonstrates that is noncausal association between exposure, due to confounding factors that contribute to the disease.
True or false are causal pathways direct and indirect?
True
What are direct causal pathways?
A factor that directly causes a disease without any intermediate steps or factors.
What are indirect pathways?
A factor that causes a disease but only through an intermediate step or steps.
If a relationship is causal, what are the four types of causal relationship that are possible?
- Necessary and sufficient
- Necessary but not sufficient
- Sufficient but not necessary
- Sufficient not necessary
What is necessary and sufficient?
The factor is both necessary and sufficient for producing the disease.
(without the factor present the disease will never develop/with the factor present the disease will always develop)
True or false, necessary and sufficient often happen
False, necessary and sufficient rarely happen because you can’t determine who will and will not get the disease.
What is necessary but not sufficient?
Factor is necessary but each factor alone is not sufficient to cause the disease. Multiple factors are required, usually in a very specific order. (need exposure before you get agent)
What is sufficient but not necessary?
One factor can produce the disease but so can other factor. These other factors can act alone to cause the disease. (the criterion of the sufficient is rarely met by a single factor)
If our statistics tell us there is a relationship between our exposure and outcome
We have to figure out if the association is causal.
What is neither necessary nor sufficient?
The most complex of all the models but it most accurately represents causal relationships.