Unit 3 Flashcards

1
Q

The difference in risk (incidence) between exposed and unexposed groups:

A

AR(e) or RD (attributable risk exposed or risk difference)

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2
Q

Attributable risk or risk difference applies to ___________ animals only.

A

exposed

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3
Q

Ex: For every 100 animals exposed, expect an additional 20 cases.

A

Risk difference. Over baseline due to exposure only.

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4
Q

The difference in risk (incidence) between the total population and unexposed group

A

Population attributable risk

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5
Q

This expresses the amount of disease in the total population attributable to exposure.

A

PAR

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6
Q

The proportion of incidence in exposed that is attributed to the exposure.

A

Attributable Proportion (exposed)

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7
Q

AP(e) tells you what fraction (%) of disease in exposed is really due to:

A

exposure

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8
Q

How do you calculate AP(e)?

A

(RR-1)/RR

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9
Q

The proportion of incidence in population attributed to exposure

A

PAP (population attributable proportion)

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10
Q

What fraction (%) of disease in the population is due to Exposure?

A

PAP

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11
Q

How do you calculate PAP (population attributable risk)?

A

(incidence in population - incidence in E-)/incidence in population

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12
Q

Which two measures of impact reference the exposed?

A

AR(e)/RD, AP

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13
Q

Which measure of impact references the TOTAL population?

A

population attributable risk

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14
Q

Which measure of impact references the population?

A

population attributable fraction

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15
Q

Identify Koch’s postulates:

A
  • it is present in all cases of the disease
  • it does not occur as a fortuitous or non-pathogenic parasite
  • it is isolated in pure culture from a case
  • organism can be is repeatedly passaged, and induced the same disease in other animals
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16
Q

What are the difficulties with Koch;s postulates in defining “cause”? Hint: There are seven.

A
  1. multiple etiologic factors
  2. multiple effects of a single cause
  3. asymptomatic carriers (cholera)
  4. non agent factors such as age
  5. immunologic processes as cause of disease
  6. host-agent, host-environment interactions
  7. noninfectious causes of disease
17
Q

Identify how surgeon general changes the causation:

A
  • consistency
  • strength of association
  • specificity of outcome, time, place, population
  • temporality
  • coherence
18
Q

Identify how hills criteria changes the causation:

A

surgeon general criteria plus:

  • dose-response relationship
  • plausible biologic mechanism
  • experimental evidence to compliment
19
Q

Identify how Surgeon general/Hills criteria changes the focus of causation, and how they rely on factors apart from agent description for disease causation.

A
  • acknowledged that clinically healthy individuals frequently tolerate pathogens quite well
  • required proof of associated between hypothesized causal factor and disease
  • accommodated non-infectious factors
  • mandated temporal sequence
  • dose-response relationship adds credibility
20
Q

the proportion (or fraction or probability) of cases of disease within a population

A

apparent prevalence

21
Q

Are results of the study applicable to the real population?

A

external validity

22
Q

Correct assessment of exposure and outcome in study groups

A

internal validity

23
Q

External validity requires __________, but internal validity does not require ______________.

A

internal validity; external validity

24
Q

a systematic error that results in an incorrect estimate in the relationship between exposure and disease:

A

bias

25
Q

If uncorrected, renders the results worthless:

A

bias

26
Q

Concerns the animals who participate and those that do not:

A

selection bias

27
Q

assessment of exposures and outcomes:

A

information bias

28
Q

To prevent this type of bias, comparisons must be drawn from the same population:

A

selection

29
Q

What are the three types of information bias?

A

observer, recall, misclassification

30
Q

differences in way information collected from E+ vs E- or D+ vs D-:

A

observer bias

31
Q

Those D+ may tend to recall exposures in greater detail than those in D-

A

recall bias

32
Q

When either E or D is not properly classified:

A

misclassification bias

33
Q

A “mixing” of effects:

A

confounding

34
Q

An extraneous variable that can wholly or partly account for an apparent association between an exposure and outcome:

A

confounding variable (confounder)

35
Q

correlated with the explanatory and response variable:

A

confounding variable

36
Q

restrict study subjects to avoid known confounding factors:

A

restriction

37
Q

Match pairs on a confounding variable so that confounding is distributed evenly between comparands:

A

matching

38
Q

When all classes, groups, or categories of a variable (whether exposure, outcome, or covariate) have the same error rate or probability of being misclassified for all study subjects.

A

non-differential misclassification

39
Q

Occurs when the proportions of subjects misclassified differ between the study groups

A

differential misclassification