Bias, Confounding and Interaction Flashcards

1
Q

Random Error

A
  • “accidental” error that occurs because of variability in measurement
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2
Q

Systematic Error

A
  • error in measurement that occurs in the development of an instrument
  • no matter how many times you measure it will always be wrong
  • or repeated mis-use of that instrument
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3
Q

Selection Bias

A
  • happens when some feature of data collection makes the participation of some people in the study, less likely than others
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4
Q

Non-Response

A
  • Subjects declining to participate, or don’t further agree with the study
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5
Q

Information Bias

A
  • the data that we collect leads to research participants being misclassified
  • also called misclassification bias
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6
Q

Types of Misclassification Bias (2)

A
  1. Differential Misclassification

2. Nondifferential Misclassification

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7
Q

Differential Misclassification

A
  • happens when one study group or the other is misclassified MORE frequently than the other
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8
Q

Nondifferential Misclassification

A
  • errors in both/any study group (ie both case + controls)
  • mainly a problem to do with data collection
  • less likely to find an association between groups
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9
Q

Reporting Bias

A
  • participants are less likely to report an exposure that may-well be related to their disease, but which is socially undesirable
  • “covering up” or “creating” a new one
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10
Q

Information Bias comes from (6)

A
  • interviews
  • surveillance
  • recall bias
  • reporting
  • data taken from records
  • surrogate bias (info from close family on behalf of loved one)
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11
Q

Confounding

A
  • is not an error found in the study, but a phenomena that is identified
  • an extraneous factor identified
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12
Q

How can you control for confounding? (4)

A
  1. Randomization
  2. Restriction
  3. Stratification
  4. Matching
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13
Q

Randomization

A
  • to ensure equal distributions of characteristics between groups
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14
Q

Restriction

A
  • remove potential influences of a confounder by eliminating that characteristic in our sample population
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15
Q

Stratification

A
  • create study groups that are less vulnerable to confounding
    Ex. if age is a confounder, use study groups with a smaller age range
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16
Q

Matching

A
  • match subjects in groups according to the value of the known confounding variables to ensure equal distribution in each group.
17
Q

Interaction

A
  • is concerned with the effects of multiple exposures, such that the effect of any given exposure is amplified / mitigated by the presence of another factor
18
Q

T/F - Exposure to a single causal factor, incidence rates will be higher than the background risk

A

True

19
Q

T/F - If interaction is not happening, the incidence rates for those with both exposures will simply be the risk

A

True

20
Q

T/F - If the incidence rate in those exposed to both factors is higher than the risks added together, we can conclude that interaction is occurring, such that exposure to both factors multiplies the risk

A

True

21
Q

Synergism

A
  • a situation in which the combined effect of two or more factors is greater than the sum of their solitary effects
22
Q

Antagonism

A
  • combined effect of two or more factors is SMALLER or WEAKER than that expected from the effect of one factor in the absence of the others