Bias Flashcards

1
Q

Bias definition

A

A systematic error that results in a deviations from the true effect of an exposure and on the outcome

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2
Q

Types of bias

A

Measurement bias = different equipment measuring differently
Observer bias = observes expectations influence reporting
Recall bias = past events not recalled correctly
Reporting bias = people don’t tell the truth because of shame/judgement
Selection bias = bias in recruiting for a study and some may be lost to follow up
Publication bias = trials with negative results less likely to be published

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3
Q

Bradford-Hill Criteria: Causality

A
  • Strength: Stronger association between exposure and outcome
  • Consistency: Same result from various studies
  • Dose response: Increased risk of outcome with increased exposure
  • Temporality: Exposure must precede the outcome
  • Plausibility: Reasonable biological mechanism
  • Reversibility: Intervention to reduce outcome
  • Coherence: Logical consistency with other info
  • Analogy: Similarity with other established cause effect
  • Specificity: Relationship specific to outcome of interest
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4
Q

Con founders

A

A situation in which the estimate between an exposure and an outcome is distorted because of the association of the exposure with another factor (confounder) that is also independently associated with the outcome.

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5
Q

Causes of association Important
- Why would you get results that suggest that exposure influences the outcome?

A
  • Bias
  • Confounding factors
  • Chance
  • Reverse causality
  • TRUE ASSOCIATION = CONFIRMED BY MEETING THE BRADFORD-HILL CRITERIA
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6
Q

Epidemiology definition Important

A

The study of the frequency, determinants and distribution of diseases and health related states in populations in order to prevent and control disease

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7
Q

Incidence definition Important

A

Number of new cases over a certain time period

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8
Q

Prevalence definition Important

A

The number of people with a disease at a certain point in time

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9
Q

Person time definition Important

A

Measure of time at risk of all the patients in the study - therefore if 1000 patients where studied for 2.5 years, the study would have looked at 2500 person Yeats

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10
Q

Risk definition Important

A

Number of new cases/ number of people at risk of the disease (within a given time frame)

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11
Q

Relative risk definition Important

A

Risk among exposed group divided by risk in unexposed group - doesn’t take into account baseline risk

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12
Q

Absolute/ Attributable risk

A

Works out how much of the event (e.g. disease) occurs BECAUSE of the exposure.
Substract the risk of the control group from the exposed group = gives you the excess risk caused by the exposure

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13
Q

Number needed to treat

A

The number of patients you need to treat for one to benefit.
1 divided by absolute risk

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14
Q

Relative risk and attributable risk calculations
*GO TO POWERPOINT FOR TABLE PAGE 68)

A
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