Epidemiology: Bias, Chance Flashcards

1
Q

Define selection bias

A

Where the relation between exposure and disease is different for those who participate Vs those who could but dont.

Meaning the populations may not be representative

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2
Q

Define information bias. What are the two types?

A

Occurs when there are systematic errors in measurement of information for the subjects. And the consequences are different for the different study groups

Reporting bias
Observer bias

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3
Q

Define observer bias

A

Where the person doing the observations may have a tendency to classify one thing more greatly than another due to some preconceptions

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4
Q

Define subject bias

A

Where a participant may be more likely to classify things than their identical counterpart e.g recall bias

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5
Q

Define misclassification bias in the context of cases control studies

A

Where true cases are wrongly labelled as controls and vice versa

If random then will weaken observed effect

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6
Q

Define survivor bias in the context of case control studies

A

If exposure is rapidly fatal then patient will die before they are defined as a case HENCE will identify factors that increase survival among the diseased as risk factors

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7
Q

Define a cofounder

A

A variable that is independently associated with exposure and disease e.g a 3rd factor

E.g looking at use of bifocals vs bed wetting. There will be an association but this is false as the use of bifocals does not cause bedwetting. Rather it is as people who need them are usually elderly

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8
Q

How do you mitigate for confounding factors?

A

Stratify the population however this leads to reduced power and makes presentation and interpretation difficult

Can also use logistic regression

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9
Q

Name the ways that selection bias occurs in case control studies

A

Cases selected for study are not representative of all eligible cases

Controls not representative of population which produced the cases

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10
Q

Name the way selection bias can occur in cohort studies

A

Where the comparison groups (exposed and unexposed) are not truly comparable

  • poor choice of unexposed group
  • differences in follow up between groups
  • missing data
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11
Q

Name the ways selection bias can occur in cross sectional studies

A

Participation rarely 100%
Participants may have different exposures
Available data on non responders should be examined

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12
Q

What is reporting bias

A

When subjects with a specific health outcome report previous exposures with a different degree of accuracy than those without the outcome
OR
Subjects give an answer they think the investigator wants to hear

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13
Q

How do you avoid observer bias in
A. Case control studies
B. Cohort studies

A

A. People responsible for classifying exposure status dont know the disease status of participant

B. People responsible for classifying outcome don’t know subjects exposure category

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14
Q

What are the two types of misclassification bias?

A

Non-differential (random)- where all exposure categories have equal chance to be in wrong category

Differential- where a certain exposure category is more likely to be categorised than another

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15
Q

What P value would you make you think that the results conclude a real effect?

A

P<0.05

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16
Q

What P value would mean you cannot conclude there is a real effect

A

P>0.05

17
Q

What are the requirements for something to be a confounder?

A

It mustn’t be on the causal pathway of exposure and outcome

Associated with exposure of interest in control population and risk factor for outcome in non exposured