Measures of Association Flashcards

(42 cards)

1
Q

What is the KEY to epidemiology?

A

COMPARISON

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2
Q

What is a hypothesis?

A

developed from your question

predictive statement

relationship between independent and dependent variables

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3
Q

What is an independent variable?

A

characteristic or event that is hypothesized to cause or contribute to the variation or other variables

ie- exposure/risk factors

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4
Q

What are dependent variables?

A

value depends on the other variables-

the outcomes, the disease

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5
Q

What is the Null Hypothesis?

A

No relationship between the independent and dependent variables

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6
Q

What is the alternate hypothesis?

A

there is a relationship between the independent and dependent variables

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7
Q

What are ratio measures of Association?

A

asses the strength or magnitude of the statistical association between the exposure and disease of interest

in cohort studies use relative risk (rick ratio)

in case-control studies use odds ratio

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8
Q

What is risk

A

the probability of a disease-free individual developing given disease over a specified period, conditional on that individual not dying from any other disease during the period

risk is w/o units from 0 to 1

risk = attack rate in outbreak settings, incidence proportion, cumulative incidence

number of events/population at risk at start of period

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9
Q

What are odds?

A

probability of an event occurring compared to the prob of it not occurring

prob event occurs/prob event does not occur

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10
Q

In cohort studies use __________

in case studies use __________

A

cohort use odds ratio

case studies use risk

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11
Q

What is relative risk?

A

estimates the magnitude of an association, between exposure and disease

relative risk is the excess risk in the exposed group compared to the unexposed (background expected group)

RR indicates the likelihood of developing a disease for the exposure relative to the unexposed

Expressed as a ratio

RR = Risk exposed / Risk unexposed

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12
Q

How do we interpret Relative Risk?

A

those who are exposed have RR times the risk of developing the dz as those who were unexposed

the risk of dz among the exposed is RR times higher /lower than the risk of dz among the

% increased/decrease tisk

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13
Q

What does RR >1.0 mean?

A

risk is greater in the exposed group than the unexposed group

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14
Q

What does RR

A

the exposed group is less likely to have the dz than the unexposed group

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15
Q

Why do we use odds ratio in case-control studies?

A

you cannot directly calculate the risk of disease because you do not have a denominator for the population

you can calculate the odds of exposure among cases and controls

the OR compares the odds of exposure among cases to the odds of exposure among controls

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16
Q

How is the Odds Ratio related to the 2x2 table?

A

it reduces to AD/BC the cross product ratio in a 2x2 table

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17
Q

How do we interpret odds ratio?

A

those with disease were OR times as likely to have the exposure compared to those w/o disease

odds of exposure among the diseased is OR times higher/lower than the odds of exposure among the non-diseased

18
Q

What do the actual numbers mean?

A

0- 0.3 strong benefit

0.9-1.1 no effect

> 2.5 strong effect

19
Q

compare odds ratio vs relative risk

A

OR is a good estimate of RR when a disease is infrequent

OR is not a good estimate of RR when a disease in NOT infrequent

20
Q

What are measures of potential impact?

A

reflect the apparent contribution of an exposure to the frequency of disease in a population

important for policy makers and funding sources to understand impact a prevention program might have

21
Q

What is risk difference?

A

aka attributable risk

risk diff = risk exposed - risk unexposed

Risk diff = incidence exposed - incidence unexposed

excess risk in those exposed

22
Q

What is attributable risk percent?

A

only appropriate if RR >1

proportion of cases in the exposed group attributable to exposure

the most that we can hope to accomplish in reducing risk of disease if we completely eliminate the exposure

(Risk exposed - risk unexposed) / Risk exposed

23
Q

What is the population attributable risk percentage?

A

proportion of cases in the entire population (exposed and unexposed) attributable to exposure

(Risk pop - Risk unexposed) / Risk population

24
Q

What does attributable risk assume?

A

ASSUMES the association is causal

25
What is causation?
the association between exposure and the outcome is real does exposure cause disease
26
What are the guidelines for assessing causality?
temporal relationship strength of association dose-response relationship replication of findings biological plausibility consideration of alternate explanations cessation of exposure consistency with other knowledge specificity of assocation
27
Temporal relationship
if a factor is believed to be the cause of a disease, the exposure to that factor must occur before disease develops
28
Strength of association
measured by the relative risk or odds ratio stronger association = more likely the relationship is causal
29
Dose- response relationship
as the dose of exposure increases, risk of disease also increases if d-r present, it is strong evidence of a causal relationship however the absence of a dose-response relationship, does not rule out a causal relationship
30
Replication of findings
expect to see the same findings in different studies and in different popualtions
31
Biological plausability
the findings should be consistent with biologic knowledge
32
Consideration of alternate explanations
important to report that alternative explanations (bias or confounding) have been considered
33
Cessation of exposure
if a factor is a cause of a disease we would expect the risk of disease to decline when exposure to the factor is reduced or eliminated
34
Consistency w/ other knowledge
causal relationships have findings consistent w/ other data
35
Specificity of association
when a certain exposure is associated w/ the only one disease`
36
How do we assess explanations for an association
if we determine an association between an exposure and an outcome exists, it might be because: bias, confounding, error in conducting the study, due to chance
37
What is bias?
systematic error in design, conduct or analysis of a study that results in a mistaken estimate of an exposure's effect on the risk of disease
38
What are the 2 major categories?
selection bias, information bais
39
What is selection bais?
occurs whenever identification of individual subjects for an inclusion results in a mistaken estimate for the measure of the effect prob with who is in the study ex- detection, self-selection, non-response, inappropriate comparison group
40
What is information bais?
systematic error in the collection of exposure outcome data that results in a mistaken estimate of an exposures effect on risk of disease problem with the info you collect ``` bad questions interview bias respndent errors record bias misclassification bias social desirability bias ```
41
define confounding
distortion of an exposure-disease association by the effect of some third factor- the confounder both exposure-confounder and disease-confounder interactions results in a mistaken estimate of an exposure's effect on the risk of disease can be eliminated during data analysis
42
What are the requirements to be a confounder?
must be: associated with the outcome associated with the exposure, but is not a result of exposure