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define and illustrate causal association
X causes Y
o High dietary sugar intake 'causes' diabetes
define and illustrate non-causal association
x does not cause Y
o Example: A third factor may be related to both preference for dietary sugar and occurrence of diabetes
Identify the five criteria for defining causation.
• Consistency
• Strength
• Specificity
• Temporality
• Coherence
Two models of multifactorial causality
o Epidemiologic triangle
o Web of causation
Examples of multifactorial causation
o Specific exposures (e.g., smoking)
o Family history
o Lifestyle characteristics
o Environmental influences
what is multifactorial causation
Many types of causal relationships involve diseases with more than one causal factor
dependent variable
a factor that is influenced or changed by another factor
In studies and observations, most outcomes are ______________ variables
dependent
independent variables
factor that stands alone and isn't changed by the other factor you are trying to measure
examples of independent variables
species, breed, sex, age, vaccination status, etc.
confounding variable
interference by a third factor that distorts the association within a study of two primary variables
define probability
Chance or risk of an event occurring (a proportion)
how do you calculate probability
o Probability= no. of times an event occurs/no. of times an event can occur
o A ratio that tells how likely an event is to take place
number of favorable outcomes (or in question)/number of all possible outcomes
define odds
ratio of the probability of an event occurring to the probability of an event not occurring
ex. Ratio of the number of successes to the number of failures
how do you calculate odds
P/(1-P)
what is the relationship between probability and odds?
o Probability varies between 0 and 1
o Odds varies between 0 and ∞
o They are directly related
o If you know one, you can easily calculate the other
The first number is the same in each case
The second number can be derived from the definition