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HTH 450 Casual Relationships Notes

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Comprehensive and detailed Casual Relationships Notes for HTH 450. *Essential!! *Contains vital info!! Enjoy!!









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Uploaded on
August 24, 2024
Number of pages
4
Written in
2021/2022
Type
Class notes
Professor(s)
Prof. brandon
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CAUSAL RELATIONSHIPS
Review Questions
 What was Hippocrates known for?
o Father of epidemiology
o Health is impacted by more earthly causes (real world/environment)
o Endemic/epidemic
 What was Ignaz Simmelweiss known for?
o Introduced hygienic practices to his clinic
o This drastically changed mortality rates
 Who was the Father of modern epidemiology?
o John Snow because he established policy and putting evidence to action
 Established systematic way of looking at disease and understanding causation
and putting ideas/thoughts into methods of prevention 8888
Objectives
 Define types of causal relationships
 Discuss Hill's criteria of Causation
 Understand important factors related to disease transmission, such as the epidemiologic triad
Association
 Association (Correlation)
o A mathematical link between two variables
o Can be positive or negative
 Positive Association (Correlation)
o If the value of one variable increases, the value of the other variable increases as well.
 Negative Association (Correlation)
o If the value of one variable increases, the value of the other variable decreases (& vice
versa).
Types of Associations
 Spurious
o FALSE Associations (correlation)
o Typically the result of sampling error bias
o When we see there is a mathematical relationship, but its not real
o You can't tell whether its spurious or not;
o Ex: divorce rates and margarine consumption (the less people eat margarine, the less
divorces occur)
 Noncausal
o When there is a relationship between two variables, but the relationship is caused by a
third variable
o The more firemen sent to a fire -> the more fire damage occurs
 Third variable could be it’s a bigger fire
o Mediated by the third variable that we may not be aware of
 Confounders
o An unobserved variable that correlated with both the exposure and outcome variable
 Causal Relationship
o When one variable causes a change in another variable
o Real relationship, not accounted by other variables
 Ex: as you run faster, the number of calories you burn increases

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