Lecture 12 - Bias & Misclassification Flashcards

1
Q

Define bias.

A

Systematic (non-random) error in study design or conduct that lead to a distortion in the association between exposure and outcome

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2
Q

What can be done about be done about bias before a study? After?

A

Before:
-steps can be taken to avoid bias or minimize its impact

After:
-NOTHING!

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3
Q

What are the 3 elements of bias impact?

A
  • Source/Type
  • Magnitude/Strength
  • Direction
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4
Q

What effect can bias have on the magnitude/strength of association?

A

Bias can entirely account for a weak association but is unlikely to account for a large association.

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5
Q

What effect can bias have on the direction of association?

A

Bias can result in over or underestimation of the measure of association either enhancing or minimizing the true relationship.

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6
Q

What are the two main categories of bias?

A
  • selection

- measurement

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7
Q

What is selection related bias?

A

When the way that subjects are selected or acquired creates a systematic difference.

Common in comparative studies when the group are not similar enough or do not adequately represent the population.

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8
Q

What is measurement related bias?

A

When the way that information is collected or the subjects are measured/observed creates a systematic difference.

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9
Q

What are examples of selection bias?

A
  • Healthy-worker bias

- Self selection/responder bias

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10
Q

What is healthy worker bias?

A

Type of selection bias in which a group of workers may not be representative because those who are unhealthy due to work may no longer be working.

Commonly seen in prospective cohort studies in which.

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11
Q

What is self-selection/responder bias?

A

Type of selection bias in which those who volunteer to participate in a study might not be representative of the rest of the population.

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12
Q

What are the types of measurement bias?

A
  • subject-related
  • observer-related
  • screening-related
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13
Q

What is recall/reporting bias?

A

Diseased or exposed subjects may be more likely to recall detail OR exaggerate responses

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14
Q

What is the Hawthorne effect?

A

When individuals in a study alter their behavior because they know they are being observed.

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15
Q

What is contamination bias?

A

When individuals in the control group receive treatment outside of protocol similar to intervention being studied.

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16
Q

What is compliance/adherence bias?

A

When groups being studied have different compliance/adherence to study protocol or treatment.

17
Q

What is lost to follow-up bias?

A

When groups have different withdrawal rates or lost to follow-up rates. Also when there are differences in those who stay and those who withdraw.

18
Q

What is interviewer bias?

A

When the interviewers knowledge may affect how questions are asked or information is obtained differently between groups.

-also-

When interventions or treatment are administered differently due to differences in skill or compliance of study personel

19
Q

What is diagnosis/surveillance bias?

A

When the observers preconceived expectations affect the evaluation, classification, diagnosis, or observation differently between groups.

20
Q

What is lead-time bias?

A

When screening due to the study leads to earlier detection of disease than normal which can lead to the attribution of a greater than actual benefit of the treatment.

21
Q

What is misclassification?

A

Error in classifying either disease or exposure status

22
Q

What are the types of misclassification?

A
  • non-differential

- differential

23
Q

What is non-differential misclassification?

A
  • misclassificaiton occurs equally in both groups

- attenutate measure of association; moves closer to 1.0

24
Q

What is differential misclassification?

A
  • misclassification occurs more frequently in one group than the other
  • inflates or attenuated the measure of association; moves closer OR away from 1.0
25
Q

What are methods for controlling bias?

A
  • blinding/masking
  • multiple sources to gather data
  • randomly allocate observers/interviewers
  • use technology as much as possible
  • attempt to minimize loss to follow-up