drugepi 4-3 chance module 4 overview context content area: interpretation of epidemiological...
TRANSCRIPT
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DrugEpi 4-3 Chance
Module 4 OverviewContext
Content Area: Interpretation of Epidemiological EvidenceEssential Question (Generic): Is the association causal? Essential Question (Drug Abuse Specific): Is an association with drug abuse causal?Enduring Epidemiological Understanding: Causation is only one explanation for finding an association between an exposure and a disease. Because observational studies are complicated by factors not controlled by the observer, other explanations must also be considered.
Synopsis: In Module 4, students explore the rationale and methods of interpreting epidemiological studies. Students develop skills to assess possible explanations for an association found in a study, with consideration of explanations of causality, chance, confounding, reversed time order, and bias. Module 4 concludes with consideration of methods for weighing the overall evidence for an association.
Lessons:
Lesson 4-1: Introduction to Interpreting AssociationsLesson 4-2: CausalityLesson 4-3: Chance Lesson 4-4: Bias Lesson 4-5: ConfoundingLesson 4-6: Reverse Time Order Lesson 4-7: Weighing the Evidence
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DrugEpi 4-3 Chance
Module 4 - Interpretation of Epidemiological Evidence
Lesson 4-3 Chance
Content
• A class exercise with 100 cards to illustrate
“chance” as a possible explanation for an association
Big Ideas
• When an association is found, several possible explanations must be considered, including the possibility that the association is due to chance
• The larger the sample size, the less likely that an observed association is due to chance
This project is supported by a Science Education Drug Abuse Partnership Award, Grant Number 1R24DA016357-01, from the National Institute on Drug Abuse,
National Institutes of Health.
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DrugEpi 4-3 Chance
Where are we?
Essential Questions Enduring Understandings
1. How is this disease distributed?
Health-related conditions and behaviors are not distributed uniformly in a population. They have unique distributions that can be described by how they are distributed in terms of person, place, and time.
2. What hypotheses might explain the distribution of disease?
Clues for formulating hypotheses can be found by observing the way a health-related condition or behavior is distributed in a population.
3. Is there an association between the hypothesized cause and the disease?
Causal hypotheses can be tested by observing exposures and diseases of people as they go about their daily lives. Information from these observational studies can be used to make and compare rates and identify associations.
4. Is the association causal?
Causation is only one explanation for an association between an exposure and a disease. Because observational studies are complicated by factors not controlled by the observer, other explanations also must be considered.
5. What should be done when preventable causes of disease are found?
Policy decisions are based on more than the scientific evidence. Because of competing values - social, economic, ethical, environmental, cultural, and political factors may also be considered.
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DrugEpi 4-3 Chance
Chance
Is the association due
to chance?
1. Cause
2. Chance
3.
4.
5.
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DrugEpi 4-3 Chance
Population
All the people in a particular group.
Review
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DrugEpi 4-3 Chance
Sample
A selection of people from a population
Review
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DrugEpi 4-3 Chance
Sample
Population
Process of predicting from what is observedto what is not observed.
(Observed)
(Not Observed)
Review
Inference
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DrugEpi 4-3 Chance
Deck of
100 cards
Population
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DrugEpi 4-3 Chance
a
25 cards
b
25 cards
c
25 cards
25 cards
d
Population
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DrugEpi 4-3 Chance
=
Population
a b c d
Population
Exposure = eating chocolate
Outcome = trying marijuana
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DrugEpi 4-3 Chance
=
Population
a
25 cards
b c d
25 cards25 cards25 cards
=a b
c d
Odd #
Even #
No Marijuana
No Marijuana
Population
Total
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DrugEpi 4-3 Chance
Exposed
Not Exposed
OutcomeNo
Outcome Total
Review - The 2x2 Table
The 2x2 table
can express
relationships
between exposure
and outcome
Optional
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DrugEpi 4-3 Chance
The 2x2 table is a tool used to express the numbers of people
with and without the exposure and with and without
the outcome.
Review - The 2x2 Table
Optional
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DrugEpi 4-3 Chance
A cross-classification of data where categories of one
variable are presented in rows and categories of another variable
are presented in columns.
Review - Another Way To Say . . .
Optional
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DrugEpi 4-3 Chance
TotalOutcomeNo
Outcome
Exposed
Not Exposed
Exposure
Outcome / Disease
a b
c d
Review - The 2x2 Table
Are there controls in this
2x2 table?
If yes, where are they?
Optional
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DrugEpi 4-3 Chance
=
Population
a
25 cards
b c d
25 cards25 cards25 cards
= 2525
25 25
50
50
Total
Odd #
Even #
No Marijuana
No Marijuana
Population
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DrugEpi 4-3 Chance
=
Population
=M&M’s
No M&M’s
FluNo
Flu
2525
25 25
50
50
Total
=
2525
25 25
50
50
Total
a
25 cards
b c d
25 cards25 cards25 cards
Odd #
Even #
No Marijuana
No Marijuana
Population
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DrugEpi 4-3 Chance
Relative Risk
A way of showing the relationship between two risks
Tells us the number of times one risk is larger or smaller
than another
Calculated by dividing the risk of an outcome in one group by the risk of the outcome
in another group
Review
Risk
A measure of how often an event occurs in a defined group of people in a defined period of time
The likelihood of developing a disease
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DrugEpi 4-3 Chance
=
Population
=
2525
25 25
50
50
Total
a
25 cards
b c d
25 cards25 cards25 cards
Risk
25 / 50 or 50%
25 / 50 or 50%
Odd #
Even #
No Marijuana
No Marijuana
Population
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DrugEpi 4-3 Chance
=
Population
a
25 cards
b c d
25 cards25 cards25 cards
=
2525
25 25
50
50
Total Risk Relative Risk
25 / 50 or 50 %
25 / 50 or 50 %50 % / 50% = = 1
50 %
50 %
____Odd #
Even #
No Marijuana
No Marijuana
Population
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DrugEpi 4-3 Chance
25 cards
25 cards
25 cards
25 cards
Population
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DrugEpi 4-3 Chance
Definition
Chance
To occur accidentally
To occur without design
A coincidence
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DrugEpi 4-3 Chance
Chance
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DrugEpi 4-3 Chance
Chance
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DrugEpi 4-3 Chance
Population
Sample
b
Sample
of
20 cards25 cards25 cards25 cards25 cards
Sample
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DrugEpi 4-3 Chance
Population
Sample
b
Sample
of
20 cards25 cards25 cards25 cards25 cards
10
10
Total
55
5 5Chocolate
No Chocolate
No Marijuana
No Marijuana
Sample
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DrugEpi 4-3 Chance
Population
Sample
b
Sample
of
20 cards25 cards25 cards25 cards25 cards
10
10
Total
55
5 5
Risk
5 / 10 or 50 %
5 / 10 or 50 %Chocolate
No Chocolate
No Marijuana
No Marijuana
Sample
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DrugEpi 4-3 Chance
Population
Sample
b
Sample
of
20 cards25 cards25 cards25 cards25 cards
10
10
Total
55
5 5
Risk
5 / 10 or 50 %
5 / 10 or 50 %Chocolate
No Chocolate
No Marijuana
No Marijuana
Sample
Relative Risk
50 % / 50% = = 1.050 %
50 %
____
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DrugEpi 4-3 Chance
b
Sample
of
20 cards
TotalRisk
5 / 10 = 50 %
5 / 10 = 50 %
50 1
Relative Risk
By Chance CDC
% ___
%
= Chocolate
No Chocolate
No Marijuana
No Marijuana
Sample
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DrugEpi 4-3 Chance
10
10
Total
55
5 5
Risk
5 / 10 or 50 %
5 / 10 or 50 %
Relative Risk
How many students picked a sample with 5 people in each cell?
= 1.050 %
50 %
____
Chocolate
No Chocolate
No Marijuana
No Marijuana
Chance
By Chance
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DrugEpi 4-3 Chance
Worksheet
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DrugEpi 4-3 Chance
Relative Risks
Greater than 1.0 Less than 1.0
Chance
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DrugEpi 4-3 Chance
Study of High School Students
Links Chocolate-Eating Habit
to a Higher Risk
of Trying Marijuana
In the News
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DrugEpi 4-3 Chance
Relative Risks
Greater than 1.0 Less than 1.0
Possible Explanations for Finding an Association
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DrugEpi 4-3 Chance
In the News
Study of High School Students
Links Eating Chocolate
to a Lower Risk
of Trying Marijuana
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DrugEpi 4-3 Chance
Relative Risks
Greater than 1.0 Less than 1.0
By ChanceBy Chance
25 cards25 cards25 cards25 cards
ChanceRange?20
cards
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DrugEpi 4-3 Chance
b
Sample
of
20 cards
TotalRisk
5 / 10 = 50 %
5 / 10 = 50 %
50
Relative Risk
50
%___
%
=Odd #
Even #
No Marijuana
No Marijuana
Different Sample Sizes
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DrugEpi 4-3 Chance
Relative Risks
Greater than 1.0 Less than 1.0
By ChanceBy Chance
25 cards25 cards25 cards25 cards
Chance
50 card
s
Range?
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DrugEpi 4-3 Chance
b
Sample
of
20 cards
TotalRisk
5 / 10 = 50 %
5 / 10 = 50 %
50
Relative Risk
75
%___
%
=Odd #
Even #
No Marijuana
No Marijuana
Different Sample Sizes
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DrugEpi 4-3 Chance
Relative Risks
Greater than 1.0 Less than 1.0
By ChanceBy Chance
25 cards25 cards25 cards25 cards
Chance
75 card
s
Range?
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DrugEpi 4-3 Chance
b
Sample
of
20 cards
TotalRisk
5 / 10 = 50 %
5 / 10 = 50 %
50 1
Relative Risk
99
%___
%
=Odd #
Even #
No Marijuana
No Marijuana
Different Sample Sizes
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DrugEpi 4-3 Chance
Review Results
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DrugEpi 4-3 Chance
Chance
Could the association have
occurred by chance?
1. Cause
2. Chance
3.
4.
5.
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DrugEpi 4-3 Chance
Big Ideas in this Lesson (4-3)
• When an association is found, several possible explanations must be considered, including the possibility that the association is due to chance
• The larger the sample size, the less likely that an observed association is due to chance
This project is supported by a Science Education Drug Abuse Partnership Award, Grant Number 1R24DA016357-01, from the National Institute on Drug Abuse,
National Institutes of Health.
Re-Cap
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DrugEpi 4-3 Chance
Next Lesson
Bias