Epi Inference Flashcards

1
Q

Describe disease causation.

A

It is usually multi-factorial, and a multi-step sequence that may or may not result in clinical disease.

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2
Q

What is the epidemiologic triad?

A
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3
Q

What is the epidemiologic definition of a “cause”

A

“A factor is considered a cause of a disease if it is part of a complex of ciorcumstances in which the relative frequency of disease is increased by its presence and reduced by its absence.”

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4
Q

What is a “risk factor”

A

An attribute associated with the occurrence of health-related condition.

Like: aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristics, not necessarily casual

Several nuanced synonyms: predisposing factor, risk marker, precursor, determinant

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5
Q

What is a “Necessary cause”

A

a cause that must always precede an effect

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6
Q

What is a “sufficient cause”

A

A cause that always produces an effect

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7
Q

What are “Necessary Conditions”

A

“X is a necessary condition for Y” = If we don’t have X, then we won’t have Y OR Without X, you won’t have Y

To say that is a necessary condition for Y does not mean that X guarantees Y.

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8
Q

What are “Sufficient Conditions”

A

The exposure is enough to cause the outcome to develop

The exposure guarantees the outcome will develop, so 0 would be in the no disease exposed group

“X is a sufficient condition for Y” = if we have X, we know that Y must follow OR X guarantees Y

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9
Q

When is a cause necessary and sufficient?

A

To develop disease, one must have the cause. The cause guarantees the disease

Ex: HIV and AIDS in the past

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10
Q

When is a cause necessary and not sufficient?

A

To develop disease, one must have the cause. The cause does not guarantee the disease.

Ex: HPV and cervical cancer

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11
Q

When is a cause not necessary but sufficient?

A

Disease can occur without the cause. The cause guarantees the disease

Ex: High-dose exposure to pesticides or ionizing radiation and sterility in men

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12
Q

When is a cause neither necessary not sufficient?

A

Disease can occur without the cause. The cause does not guarantee the disease.

Ex: sedentary lifestyle and coronary heart disease

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13
Q

What are the epidemiologic guidelines for establishing a cause-effect relationship?

A

temporal sewuence
strength of association
dose response relationship/biologic gradient
consistency of the association/replication
coherence (biologic plausibility)
specificity of the association
experiment (cessation of exposure)
analogy
consideration of alternate explanations

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14
Q

What is temporal sequence?

A
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15
Q

Describe strength of the association.

A
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16
Q

What is dose-response relationship?

A

Does risk for disease increase with the degree of exposure?

17
Q

What is consistency of the association?

18
Q

What is coherence of the association? (biologic plausibility)

19
Q

What is the specificity of the association?

20
Q

What is analogy?

21
Q

What is bias?

A

Systematic error in the design, conduct, or analysis of a study that results in a mistaken or distorted estimate of an exposure’s effect on the outcome.

Note: Perfect statistical analysis of the data cannot correct for systematic error in the design and conduct of the study

22
Q

What are the two principal types of bias?

A

1) selection bias

2) information bias

23
Q

What is selection bias?

A

Error due to systematic differences in characteristics (e.g. past exposures) between those who take part in a study and those who did not

The problem: the association between exposure and outcome may differ between those who participate in the study and those who do not participate

24
Q

What are the consequences of selection bias?

A

The measure of association is distorted due to procedures used to select subjects and from factors that influence study participation. Usually inferred, rather than observed. Try comparing by known characteristics.