Bias Flashcards

1
Q

Error in assigning individuals to groups leading to differences which may influence the outcome

A

Selection bias

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2
Q

subjects in a sample are not representative of the population

A

Sampling bias

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3
Q

Give an example of volunteer bias

A

Example: A study looking at the prevalence of Chlamydia in the student population.
Students who are at risk of Chlamydia may be more, or less, likely to participate in the study.

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4
Q

What is non-resopnder bias? give an example?

A

Example: A survey on dietary habits was sent out in the post to random households.
It is likely that the people who didn’t respond would have poorer diets than those who did.

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5
Q

Difference in the accuracy of the recollections retrieved by study participants, possibly due to whether they have disorder or not

A

Recall bias

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6
Q

Failure to publish results from valid studies, often as they showed a negative or uninteresting result. Important in meta-analyses where studies showing negative results may be excluded.

A

Publication bias

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7
Q

Describe “work-up bias” or “verification bias”

A

Studies which compare new diagnostic tests with gold standard tests
=> clinicians reluctant to order the gold standard test unless the new test is positive, as the gold standard test may be invasive (e.g. tissue biopsy)
=> This can distort the results of a study, and alter values such as specificity and sensitivity.

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8
Q

A problem in non-blinded trials.
Observers may subconsciously measure or report data in a way that favours the expected study outcome.

A

Expectation bias (Pygmalion effect)

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9
Q

Describes a group changing it’s behaviour due to the knowledge that it is being studied

A

Hawthorne effect

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10
Q

Gathering information at an inappropriate time e.g. studying a fatal disease many years later when some of the patients may have died already

A

Late look bias

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11
Q

Occurs when subjects in different groups receive different treatment

A

Procedure bias

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12
Q

Occurs when two tests for a disease are compared, the new test diagnoses the disease earlier, but there is no effect on the outcome of the disease

A

Lead time bias

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