Week 9 Flashcards

1
Q

What is the difference between systematic error and random error?

A

Random error is due to chance such as statistical fluctuations in the measurement of data. Systematic error is a result from errors in the selection or measurement such as bias.

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2
Q

What is the difference between internal validity and external validity?

A

Internal validity is the validity of inferences drawn as they pertain to the members of the source population. External validity or generalizability is the validity of the inferences as they pertain to people outside of the source population.

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3
Q

When does selection bias occur in the natural history of the study?

A

After the choosing the population and before selecting the study participants.

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4
Q

When does information bias occur in the natural history of a study?

A

During the data collection step.

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5
Q

Give an example of information bias

A

misclassification of former smokers as non-smokers

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6
Q

What is non-differential misclassification?

A

When the misclassification of exposure status, for instance, is equal in the diseased and non-diseased groups (ie, it does not differ by disease).

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7
Q

How does non-differential misclassification, which is independent of disease status, affect the estimates in a study?

A

non-differential misclassification biases toward the null (no effect)

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8
Q

Twenty percent of the nonusers with CHD were categorized as users. Everyone else was classified accurately according to the truth. Is this an example of misclassification of exposure or disease?

A

misclassification of exposure

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9
Q

Twenty percent of the nonusers with CHD were categorized as users. Everyone else was classified accurately according to the Truth. What type of misclassification is this an example of?

A

Differential misclassification of exposure, because the misclassification of exposure status is dependent on disease status.

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10
Q

How can differential misclassification affect the estimates of study?

A

Differential misclassification can bias either toward the null or away from the nul.

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11
Q

To have internal validity, a study must successfully address selection bias, information bias, and confounding, but not

A

generalizability

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12
Q

In an observation study, threats to external validity include

A

effect modification

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13
Q

What is validity?

A

The degree to which the inferences drawn from a study are warranted when account is taken of: the study methods, the representativeness of the study sample, and the nature of the population from which it is drawn.

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14
Q

What is internal validity?

A

the credibility with which statements can be made about whether the association between the exposure and disease found in your study is a true association; what you observe is not due to random error, confounding or bias

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15
Q

What is external validity (generalizability)?

A

validity of the inferences as they pertain to other circumstances; ability to generalize the results from a given study to populations beyond the study subjects.

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16
Q

What study design is limited in generalizability?

A

clinical design, experimental study design; however, the bigger the sample, the more it is generalizable

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17
Q

What are some threats to internal validity?

A

chance (random error), confounding, bias

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18
Q

What are some threats to external validity?

A

internal validity, choice of study population, effect modification

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19
Q

Why is effect modification a threat to external validity?

A

if the exposure causes disease only in the presence or absence of some third variable, generalizability may be limited

20
Q

What is bias?

A

the result of a systematic error in the design or conduct of a study; observed study results will tend to be different from the true results; happens in nature, unlike confounding, relates to the process of how the study is conducted

21
Q

bias can lead to incorrect:

A

measures of disease occurrence or association, estimate of statistical significance

22
Q

what is selection bias?

A

individuals have different probabilities of being included (selected, recruited, retain) in the study sample according to relevant study characteristics (exposure/disease)

23
Q

What is information bias?

A

systematic tendency for individuals selected for inclusion in the study to be erroneously placed in different exposure/disease categories. (ex: misclassification)

24
Q

When can selection bias occur in cohort studies?

A

if the frequency of risk factors in the exposed group(s) is different than that in the comparison group; more commonly, differential losses to follow-up

25
Q

What is control selection bias in case control studies?

A

when the selection of controls in case-control study is associated with exposure status

26
Q

What is Berksonian Bias?

A

occurs when cases and controls are selected from a subpopulation instead of the general population; when both cases and controls are sampled from a hospital

27
Q

information bias examples

A

recall bias, measurement bias, misclassification, interviewer bias, observer bias, respondent bias

28
Q

how can we minimize information bias?

A

getting expert opinion, using validated instruments and objective measures, standardized protocols and training data collection team

29
Q

what is interviewer bias?

A

behavior of the interviewer may influence respondent answers

30
Q

In what study designs are exposure-related biases more likely to be present?

A

case-control (population based)

31
Q

what is observerr bias?

A

ascertainment of outcome is influenced by knowledge of exposure or outcome status

32
Q

In what study designs are outcome-related biases more likely to be present?

A

cohort

33
Q

what is non-differential misclassification of disease?

A

non-differential misclassification of disease; disease is misclassified proportionally among exposed and non-exposed

34
Q

what is non-differential misclassification of disease?

A

non-differential misclassification of disease; disease is misclassified proportionally among exposed and non-exposed

35
Q

What is non-differential misclassification of exposure?

A

exposure is misclassified proportionally among diseased and non-diseased

36
Q

How can one measure the ability to distinguish between who does and does not have a disease (validity/truth)?

A

sensitivity and specificity

37
Q

what is sensitivity?

A

the ability of a test to correctly identify those who have the characteristic of interest (a/a+c)

38
Q

what is specificity?

A

the ability of a test to correctly identify those who do not have the characteristic of interest. (d/d+b)

39
Q

what type of bias is lead time bias?

A

information bias

40
Q

what type of bias is length bias?

A

selection bias

41
Q

what is lead-time bias

A

overestimation of survival duration due to earlier detection due to earlier detection by screening than clinical presentation

42
Q

what is length bias?

A

occurs when some people who are screened have disease that progresses more slowly than all people who have the disease.

43
Q

what are examples of cross-sectional biases?

A

incidence-prevalence bias, temporal bias

44
Q

what is incidence-prevalence bias?

A

including prevalent cases in a study when the goal is to make inferences about incident cases

45
Q

what is temporal bias?

A

cannot establish temporal sequence between exposure and outcome

46
Q

observer bias and respondent bias are common in cohort designs. true or false?

A

true

47
Q

recall bias and interviewer bias are common in case-control designs. true or false?

A

true