EBM Flashcards

1
Q

selection bias

A

when subjects included in the study are not truly representative of the target population

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2
Q

definition bias

A

study subjects should be sharply defined

e.g. not just ‘tuberculosis’ but ‘sputum positive montoux positive TB’

prevents study designer from being subjective in interpretation

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3
Q

bias in concepts

A

lack of clarity about the concepts that are to be used in the proposed research

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4
Q

bias due to concurrent disease

A

selected patients may suffer from something that is seemingly unrelated, but their response may differ due to this, or any other medication they are on

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5
Q

information bias

A

occurs when key information is either measured, collected or interpreted inaccurately

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6
Q

interviewer/observer bias

A

when one is able to elicit a better response from one kind of patient than another kind

e.g. well educated vs. illiterate

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7
Q

recall bias (two types)

A

recency recall bias - events that happened a short time ago are more easily recalled

severity recall bias - easy to recall because they live longer in memory

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8
Q

response bias

A

relates to tendency of subjects to respond inaccurately or falsely to questions

e.g. when asked about sexual history, pt may not disclose having an STD due to stigma

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9
Q

attrition bias

A

rate of drop-out during clinical trials can effect sample sizes and data

e.g. if the most severe cases drop out during a trial

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10
Q

what is the hawthorn effect?

A

if a subject knows they are being measured or observed, their behaviours and responses may change

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11
Q

confounding bias

A

failure to account for cofounding variables that may effect the outcome of the trial

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12
Q

statistical bias

A

validity of statistical tests rely on the number of subjects in the study. Can produce false positives/false negatives if the sample size isn’t big enough

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