Bias, Sample Collection & Confounding Flashcards

1
Q

Any systematic error in an epidemiology study that results in an incorrect estimate of the association btwn exposure & risk of dz.

A

Bias

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2
Q

List 2 broad types of bias

A
  • Selection bias
  • Information bias
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3
Q

List the different types of selection bias.

(3)

A
  • Surveillance bias
  • Non-response bias
  • Inapproriate comparison group
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4
Q

When does surveillance bias occur?

A

animals are more closely followed by clinicians b/c are these animals are predisposed to a particular dz.

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5
Q

What happens in inappropriate comparison group?

A

Control does not appropriately represent the population from which cases arose

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6
Q

How can we avoid Selection Bias?

A
  • randomly select subjects
  • high response rates
  • low withdraw rates
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7
Q

List the 5 different types of Information Bias.

A
  • Interviewer bias
  • Recall bias
  • Incomplete medical record use
  • Misclassifcation bias
  • Observer bias
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8
Q

What happens in interviewer bias?

A

Interviewer asks questions in such a manner that affects subjects’ response

(leading questions, etc)

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9
Q

What happens in Recall Bias?

A
  • Subjects don’t accurately remember exposure
  • Family members provide info on subject
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10
Q

What happens in Misclassifaction bias?

A
  • Inaccurate data collection leads exposure or disease to be misclassified.
  • Case as control, control as case
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11
Q

When does Interobserver variation of Observer Bias occur?

A
  • >2 observers
  • variation btwn those reading or interpreting results
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12
Q

When does Intraobservation variation of Observer Bias occur?

A
  • 1 observer
  • variation btwn 2 observations made by 1 person

(think about interpretation of radiographs, experienced vs. novice)

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13
Q

How can we control bias?

A
  • Careful study design
  • Good data collection
    • blindness
    • well trained personnel
    • multiple sources of data
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14
Q

Best method of sampling?

A

Random sampling

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15
Q

Method characteristics:

  • each subject in a population has equal chance of being selected
  • computer programs
A

simple random sampling

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16
Q

Method characteristics:

  • selection has a known & equal chance of being selected
A

Systematic Random sampling

17
Q

Samples are divided into strata & a random sample taken from each strata

A

Stratified Random Sampling

18
Q

Selection of samples in space & time

A

Cluster sampling

19
Q

Pro’s & Con’s of Non-random Sampling

A
  • Pro: practical
  • Con: produces bias (can’t quantify)
20
Q

List the 3 types of Non-random Sampling

A
  • Convenience sampling
  • Purposive sampling
  • Haphazard sampling
21
Q

The distortion or masking of an association btwn exposure & a Dz. b/c of a 3rd factor.

A

Confounding

22
Q

Confouding variable/factor?

A
  • BE an independent risk factor for the dz.
  • ASSOCIATED w/ exposure (risk) but not a result of the risk of interest
23
Q

How can we control confounding?

A

Study Design

  • Randomization
  • Matching
  • Restriction
24
Q

Strength of randomized control trails?

(in regards to confounding)

A

they control for known & UNKNOWN confounders

25
Q

Subjects selected via matching allow confounders to be ______ ______ among the case & control groups.

A

evenly distributed

26
Q

How does restriction help prevent confounding?

A

restricts study to a subgroup that is homogenous for the possible confounder; helps elminate

27
Q

Examples of confounding variables?

A
  • Sex
  • Breed
  • Age