Bias and Confounders Flashcards

1
Q

random (non-differential) error

A

use of invalid outcome measure that equally misclassifies cases and controls

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2
Q

systematic (differential) erros

A

use of invalid measure that misclassifies cases in one direction and controls in another –> leads to inaccurate results

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3
Q

Bias is part of what error?

A

systematic/differential

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4
Q

Chance

A

cause of random error and leads to imprecise results

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5
Q

Selection Bias

A

study and control groups not representative of population and this factor has potential to affect results

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6
Q

Types of Selection Bias

A

sampling, volunteer, healthy worker, hospital, prevalence-incidence, surveillance, loss to follow up

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7
Q

healthy worker effect

A

those working generally healthier than rest of population and potentially less likely to participate in a study

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8
Q

hospital bias

A

occurs when hospital cases are compared to the rest of the population

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9
Q

Neyman’s Prevalence-Incidence Bias

A

prevalent cases used to study exposure-disease relationships
(think about the bathtub, how long they live)

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10
Q

Surveillance Bias

A

exposed individuals undergo a more thorough evaluation than non-exposed individuals

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11
Q

Ways to help control selection bias?

A

careful study design, reduce loss to follow up, “equalize” bias between groups

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12
Q

4 Types of Information Bias

A
  1. Exposure ID bias
  2. Outcome ID bias
  3. Temporal bias
  4. Lead Time bias
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13
Q

Exposure ID Bias

A

includes recall bias, Hawthorne (act differently if they’re in the study vs not), interviewer bias

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14
Q

Outcome ID Bias

A

overreporting or seeking exposures

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15
Q

Temporal Bias

A

when you can’t figure out what came first - risk factor or disease (so do a prospective study to avoid this)

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16
Q

Lead Time Bias

A

early diagnosis can happen since we’re looking so closely at our studies

17
Q

Result of Information Bias?

A

misclassification of individuals

18
Q

Ways to Prevent Misclassification

A

blinding, questionnaire (instead of interview), accuracy checks, CONSISTENCY

19
Q

Publication Bias

A

bias in reporting study results (authors tend to only submit positive results)

20
Q

confounding variable

A

causally associated with the outcome, could be related to the exposure, but not part of a causal pathway between exposure and outcome

21
Q

Stratified Analysis

A

separate groups based on potential confounding variable and see if the statistical analysis holds up

22
Q

3 Ways to Control for Confounders

A
  1. Restriction (keep potential confounders out)
  2. Random allocation (to even out confounders)
  3. Matching
  4. Model-fitting regression techniques in analysis