Bias, Chance + Confounding Flashcards

1
Q

what is selection bias?

A

systematic differences in characteristics between those who take part in a study and those who do not.

such as the persons who are selected to take part in the study are not representative of the reference population.

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2
Q

what is information bias?

A

any error in the measurement of exposure or outcome that results in systematic differences in the accuracy of information collected between comparison groups.

within this:
- reporting bias
- observer bias
- misclassification bias

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3
Q

what is reporting bias?

A

when subjects with a specific health outcome report previous exposures with a different degree of accuracy to those without the outcome.

give the answer that they think will please the investigator, or if they tend to conceal potentially embarrassing info.

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4
Q

how can reporting bias be minimised/avoided?

A
  • use exposure data before outcome - objective data sources where possible
  • keep subjects unaware of association under study
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5
Q

what is observer bias in case-control or cross-sectional studies?

A

when the accuracy of exposure data recorded by the investigator differs systematically between subjects in different exposure groups.

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6
Q

what is observer bias in cohort/intervention studies?

A

when the accuracy of the outcome data recorded by the investigator differs systematically between subjects in different exposure groups (interviewer bias)

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7
Q

how can observer bias be avoided in cohort studies?

A

the people who are responsible for classifying the outcome do not know the subject’s exposure category.

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8
Q

how can observer bias be avoided in case-control studies?

A

the people responsible for classifying the exposure do not know the subjects disease status (blinding).

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9
Q

what is misclassification bias?

A

either the exposure status is incorrect or the disease status is incorrect.

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10
Q

how is the confounding variable dealt with in the analysis?

A
  • stratified analysis
  • direct and indirect standardisation
  • statistical modelling (multiple regression)
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