Bias Flashcards
1
Q
Status-Quo Bias
A
- Default option is ranked more highly
- Hesitancy to change due to aversion to loss
- Endowment effect (overvalue what you own)
2
Q
Observed Association Explanations
A
- Observed association is true
- Due to chance
- Resulted due to bias
- Resulted due to confounding
3
Q
Precision
A
- Lack of random error (chance)
- Study size
- Study efficiency
4
Q
Validity
A
- Lack of systemic error
- Internal validity (bias, confounding)
- External validity (generalizability)
5
Q
Internal Validity
A
- Validity of inferences drawn that relate to study population
- Ability of test to measure what it sets out to measure
- Whether the experimental treatment makes a difference in this specific experimental instance
6
Q
External Validity
A
- Inferences about the extent to which a casual relationship holds over variations in persons/settings/treatments/etc
- Validity of inferences drawn as they relate to groups OUTSIDE the study population
- Extent to which the study findings can be generalized
7
Q
Bias
A
- Any trend in the collection, analysis, interpretation, publication or review if data that can lead to conclusions are systemically different from the truth
- Systematic error: incorrect estimate of association (RR or OR is wrong)
8
Q
Why worry about Bias/Confounding?
A
- Can cause incorrect results
- Over or underestimate association
- Change direction of association
- Quasi-experimental research is prone to bias and confounding
- Due to limited ability to remove the effect of other risk factors, ascertain exposure and outcome, representative sample
9
Q
Validity
A
- Randomization doesn’t eliminate threats to validity
- Minimizes threats to internal validity
- External validity can still be jeopardized due to stringent criteria
10
Q
Sources of Bias
A
- Caused by investigators or participants
- During design/conduct of study
- Occur in cross-sectional, case-control, cohort, or interventional studies
11
Q
Major Types of Bias
A
- Selection Bias
- Information Bias
- Sampling or ascertainment bias
- Response/Participation Bias
- Lost to Follow-up Bias
- Publication Bias
12
Q
Selection Bias
A
- Distortion in measure of association
- Results form manner in which subjects are selected into study population
- Results differ from if you had enrolled entire population
13
Q
Information Bias
A
- Flaw in measuring exposure or outcome
- Collection of incorrect information from subjects
14
Q
Sampling/Ascertainmetn Bias
A
- Healthcare access bias
- Length-bias sampling
- Exclusion
- Detection
15
Q
Response/Participation Bias
A
- Differences in characteristics between participants in study and non-participants
- Non-participants having more severe symptoms or conditions not responding to surveys for example