Stats Flashcards

1
Q

Define Incidence

A

Number of new cases of disease per year

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2
Q

Define prevalence

A

Overall proportion of population with disease

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3
Q

Define bias

A

Anything that statistically influences the conclusions about a group and distorts comparisons

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4
Q

What is Berkson bias

A

Arises when study includes hospitalised patients. These patients may have exposure to risk factors than are significantly greater than the population at large which can disrupt association between exposure and outcome

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5
Q

What is allocation bias

A

Systematic difference in how participants are assigned to groups

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6
Q

What is apprehension bias

A

When a study participant behaviours differently due to being observed

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7
Q

What is ascertainment bias

A
  • When data for a study are collected such that some members are less likely to be in the final result than others
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8
Q

What is attrition bias

A

When individuals drop out of groups unequally

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9
Q

What is availability bias

A

Researchers use information that is readily available rather than collecting all

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10
Q

What is chronological bias

A

Participants recruited at different time points may vary in exposure

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11
Q

What is compliance bias

A

Participants that comply with an intervention differ in someway from those who don’t

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12
Q

What is data dredging

A

Occurs when multiple sub-group analyses are performed on the same data. Increases probability of type 1 error

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13
Q

What is the Hawthorne effect

A

Individuals modify an aspect of their behaviour in response to their awareness of being observed

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14
Q

Hot Stuff Bias

A

When a topic is fashionable investigators may be less critical in their approach and editors want to publish

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15
Q

Hypothetical bias

A

When individuals stated behaviour differs to their real behaviour

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16
Q

Industry sponsorship bias

A

When methods and results of a study support interests of funding organisation

17
Q

Information bias

A

Bias that occurs due to systematic differences in collection, recording or handling of information used in a study

18
Q

Observer bias

A

Systematic difference between value observed - due to observer variation, and the true value

19
Q

Performance bias

A

Systematic differences in the care provided to members of different study groups

20
Q

Popularity bias

A

Difference in uptake of healthcare as a result of public interest in a disease or condition - this leads to a selection bias

21
Q

Publication Bias

A

Likelihood of study being published affect findings of the study

22
Q

Neyman bias

A

Also known as prevalence-incidence bias.

Excluding patients with severe forms of the disease - will make disease appear less severe.

Excluding patients who have recovered - will make the disease seem more severe.

Greater time between exposure and investigation increases this risk. More common in long-acting conditions.

Case-control studies are most susceptible.

23
Q

Recall bias

A

Systematic error due to differences in accuracy of recall of past events

24
Q

Selection bias

A

Occurs when individuals in a group or study differ systematically from the population at interest

25
Q

Unacceptability

A

Systematic difference in response rates or uptake of tests due to their unacceptability. (eg. measurements that hurt or embarass may be refused)

26
Q

Volunteer bias

A

Participants volunteering to take part in the study have intrinsically different characteristics to population of interest