Exam 2 : lecture Association, Causal Inference & Causality Flashcards

1
Q

Cause

A

Precursor event, condition or characteristic required for the occurrence of the disease or outcome

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2
Q

Associations

A

Relationships between an exposure/ treatment and an outcome/disease

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3
Q

3 types of association (relationships)

A
Artifacts also (AKA false)
Non-causal associations (related but not caused)
Causal associations ( one thing cause the other)
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4
Q

Artifactual association

A

Arise from bias or confounding

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5
Q

Non-causal associations

A

Disease may CAUSE the exposure
Or
Disease and exposure are both associated with a third factor (confounding) ex: coffee drinking & CHD

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6
Q

Causal associations

A

Exposure causes outcome

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7
Q

Types of causal relationships

A

Sufficient cause
Necessary cause
Component cause

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8
Q

Sufficient cause

A

Cause which precedes a disease, if present, disease with ALWAYS occur
Ex: genetic abnormalities
Can have risk factors (component causes)

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9
Q

Necessary cause

A

Cause which precedes a disease and has the following relationships:
-cause must be present for disease to occur; cause may also be present without disease occurring
Ex: tuberculosis
NO GAURANTEE OF OUTCOME

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10
Q

Component cause

A

Risk factors
-if present/active, increases the probability (or likelihood) of disease
Ex: High LDL—

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11
Q

Some patients must be _______________ or ______________ to disease before component cause induce disease (multi factorial)

A

Primed

Susceptible

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12
Q

Interactions in causal research

A

Synergism

Parallelism

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13
Q

Synergism

A

Work together
2 or more components cause such that the combined measure of effect is greater than the sum of the individual effects
(Need BOTH factors)

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14
Q

Parallelism

A

Either
2 or more components causes such that the measure of effect is greater if either is present
(One or the other will give you the disease)

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15
Q

Hill’s guidelines

A

Derived following US surgeon Generals 1964 report on smoking
-no hard and fast rule of evidences could be generated by to judge likelihood of causation, but the more you have, the better the causation

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16
Q

Hill’s criteria (guidelines)

A
Strength
Consistency
Temporality
Biological gradient
Plausibility
17
Q

The higher number of criteria met, when evaluating an association, the ore likely it may be causal. What inference process is this?

A

Hill’s criteria

18
Q

Hill’s criteria :
Refers to size of the measure of association (RR/OR/HR)
-the greater the association the more convincing it is that the association might actually be causal
EX: smokers have up to 20 times greater risk of developing lung cancer compared to non-smokers

A

Strength

19
Q

T or F
A strong association is neither necessary nor sufficient for causality and weakness of an association is neither necessary nor sufficient for absence of causality

A

True

20
Q

Hill’s criteria:
The repeated observations of an association in different populations under different circumstances in different studies
EX: cause-effect relationship between cigarette smoking & CHD greatly strengthened by the fact that a large number of observational studies have consistently demonstrated an INCREASED RISK

A

Consistency (reproducibility)

21
Q

Consistency may still obscure the truth, T or F

A

True

Women’s health study (menopausal hormone therapy)

22
Q
Hill’s criteria:
The cause precede the effect/outcome in time
-time-ordered also describable 
*proximate cause
*distal cause
EX: 1. take medicine—>projectile vomit
          Take Medicine for 10 years—
A

Temporality

23
Q

Hill’s criteria:
Presence of a gradient of risk (dose response) associated with eh degree of exposure
EX: light smoker are 5 times more likely to develop lung cancer than non-smokers
Heavy smokers are 15 times more likely to develop lung cancer

A

Biological gradient

24
Q

Hill’s criteria:
Presence of biological feasibility to the association, which can be understood and explained
EX: infection H. Pylori cause PUD

A

Plausibility

25
Q

What is the issue with hill’s criteria “plausibility”

A

Decision on criterion-based from existing/known beliefs, which may be flawed or imcomplete