COMMON BIASES IN RESEARCH Flashcards

1
Q

Rhetorical techniques used to convince the reader without reference.

A

Bias of rhetoric

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2
Q

Knowledge of a subject’s prior exposure may influence subject selection or
the outcome of an intervention.

A

Suspicion Bias

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3
Q

Authors may restrict references to only those works which
support their conclusions.

A

One-sided reference

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4
Q

When a topic is “hot”, investigators and editors may not be able to resist
publishing additional results

A

Hot Stuff Bias

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5
Q

Authors are more likely to submit and publish positive results.

A

Positive Result Bias

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6
Q

Samples which are too small can prove nothing; samples which are too
large can prove anything.

A

Sample size bias

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7
Q

When hospitalization rates differ for different
exposures/diseases, the relation between exposure and diseases can become distorted.

A

Admission rate

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8
Q

Certain clinical procedures may be preferentially offered to those
at low risk or those expected to have a favorable outcome.

A

Procedure selection bias

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8
Q

Certain clinical procedures may be preferentially offered to those
at low risk or those expected to have a favorable outcome.

A

Procedure selection bias

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9
Q

When an investigator knows what treatment the subjects are
receiving the outcomes or measurements may be influenced.

A

Therapeutic Personality Bias

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10
Q

Bias: Certain clinical data may be missing because they were normal,
negative, never measured, or never recorded.

A

Missing Clinical Data

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11
Q

When outcome measures are incapable of detecting clinically
significant differences.

A

Intensive Measure Bias

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12
Q

Certain measurements may be altered from usual values when the
patient is apprehensive.

A

Apprehension Bias

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13
Q

Subjects may alter their responses based on what they perceive to be
desired by the investigator.

A

Obsequiousness bias

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14
Q

Defects in the calibration or maintenance of measurement instruments
may lead to systematic deviations in results.

A

Instrument Bias

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15
Q

Subjects may alter their behavior if they know they are being observed (also
known as the Hawthorne Effect).

A

Attention Bias

16
Q

Alpha or beta error selected after the data have been analyzed

A

Post-hoc significance bias

17
Q

Data are reviewed for all possible associations without a prior
hypothesis.

A

Data Dredging Bias

18
Q

CExclusion of outliers or other “untidy” results that is not justified by statistical
grounds.

A

Tidying-up bias