[CH2] BIAS & CONFOUNDERS Flashcards

1
Q

deviation of outcome measurement

A

errors

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2
Q

errors can be due to

A

sampling
biological variation
measurement process

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3
Q

errors can be eliminated by

A

larger samples
taking averages of at least 2 measurements

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4
Q

systematic induced error which results in under/over estimation of an association

A

bias

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5
Q

bias types

A

selection bias
information bias

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6
Q

selection bias types (5)

A

volunteer bias
healthy workers effect
neyman’s bias
Berkson bias
attrition bias

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7
Q

information bias types (7)

A

recall bias
reporting bias
interviewer bias
inter-observer bias
intra-observer bias
surveillance bias
detection bias

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8
Q

information bias can be controlled by (5)

A

1-blinding
2-using mail surveys
3-use multiple questions that ask the same important information
4-use multiple sources of information
5-using standard measurement instruments

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9
Q

selection bias can be controlled by (4)

A

1-random selection
2-use of incidence cases in case-control studies
3-avoid use of hospitalized cases from same department of intended disease
4-avoid use of end-stage cases except if they’re the target group

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10
Q

effect or association between an exposure & outcome is distorted by presence of 3rd factor related to both

A

confounder

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11
Q

is confounding a bias?

A

NO

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12
Q

characteristics of a confounder

A

1-must be a risk factor
2-associated w exposure
3-NOT intermediate step in causal path
4-NOT a result of exposure

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13
Q

BIAS: prevalence of diseased volunteers is higher than prevalence of diseased individuals in general population

A

Volunteer bias

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14
Q

BIAS: morbidity & mortality from a disease are lower among the sample of those present at work

A

healthy worker effect

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15
Q

BIAS: reflects both risk factors & survivorship

A

neyman bias (use of prevalent cases in case control studies)

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16
Q

BIAS: controls may have increased/decreased exposure to risk factors that leads to their diseases & not the one under study

A

berkson bias

17
Q

BIAS: loss during follow up

A

attrition bias

18
Q

BIAS: misinformation due to selective recall of previous activities & exposure

A

recall bias

19
Q

BIAS: women who had complications during pregnancy recall pregnancy outcomes better than those w/ easier pregnancy experiences

A

recall bias

20
Q

BIAS: exposures get under-reported because of attitudes/beliefs/perceptions

A

reporter bias

21
Q

BIAS: drug abuse exposure is under reported due to attitudes & perceptions

A

reporter bias

22
Q

BIAS: misinformation due to taking sides by interviewers

A

interviewer bias

23
Q

BIAS: interviewer may ask extra questions, use of voice tone, body language, facial expressions to suggest preference to certain responses

A

interviewer bias

24
Q

BIAS: variation b/w results obtained by 2+ different observers examining same material

A

inter-observer bias

25
Q

BIAS: variation b/w results obtained by an observers examining same material more than once

A

intra-observer bias

26
Q

BIAS: one group is followed up more closely by surveillance system

A

Surveillance bias

27
Q

BIAS: systematic differences b/w groups due to differences in method of evaluation of outcome

A

detection bias

28
Q

BIAS: exposed group is evaluated by lab investigations & X-rays while control group is evaluated w/ only an interview

A

detection bias

29
Q

recall bias is common in

A

case control studies

30
Q

% of loss that renders a study questionable and in need of sensitivity analysis

A

more than 20%

31
Q

attrition bias is common in

A

cohort
clinical trials

31
Q

attrition bias is common in

A

cohort
clinical trials