Exam 2: lecture 1 BIAS Flashcards

1
Q

Bias

A

Systematic (non random) error in study design or conduct leading to erroneous results

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2
Q

What does bias distort?

A

Relationship between exposure and outcome

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3
Q

Can a bias be fixed?

A

No; once it has already occurred (after study ends)

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4
Q

What can be done to lower bias?

A

Prospective consideration

-still must assess for it to confirm internal validity

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5
Q

That are the elements of bias impact that investigator look at?

A

Source/type
Magnitude/strength
Direction

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6
Q

Magnitude/ strength in bias

A

One of the elements investigated

  • Can account ENTIRELY for a weak association (small RR/OR)
  • Not likely to account entirely for a VERY STRONG association (large RR/OR)
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7
Q

Direction in bias

A

Can OVER or UNDER estimate the true measure of association

-can have an ENHANCING or MINIMIZING effect on the true measure of association (toward or away from a ration of 1.0)

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8
Q

Selection- related bias

A

Any aspect in the way the researcher selects or acquires study subjects which creates systematic difference between groups

DONT DO ANYTHING THAT IS DIFFERENT, OR CREATES A DIFFERENCE, BETWEEN GROUPS

!!!!SAME-SAME-SAME!!!!

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9
Q

Measurement-related (info/observed) BIAS

A

Any aspect in the way the researcher collects info, or measures/observes subjects which creates a systematic difference between groups
-errors in measurement can also cause a resultant error in patient classification

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10
Q

Types of selection Bias

A

Healthy-worker bias

Self-selection/ participant (responder) bias

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11
Q

Healthy worker bias

A

Can easily be seen in prospective cohort studies

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12
Q

Self-selection bias

A

Those that wish to participate may be different in some way to those that don’t volunteer or self-select

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13
Q

Types of measurement Bias “subject related”

A

Recall bias
Contamination bias
Compliance/ adherence bias
Lost to follow up bias

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14
Q

Recall bias

A

Reporting bias

  • differential level of accuracy/detail provided info between study group
  • exposed or diseased subjects may have greater sensitivity for recalling their history or amplify their responses
  • individuals can report their “effects” of exposure, disease symptoms or treatment differently bc they are part of a study
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15
Q

Hawthorne effect

A

People know they are being watch, they do what their suppose to

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16
Q

Contamination bias

A

Controlled group accidentally, or outside of study protocol, receive the treatment

17
Q

Compliance/adherence bias

A

Groups being interventionally studied have different compliance (people follow rules differently)

18
Q

Lost to follow up bias

A

Groups being studied have different withdrawal or lost to follow-up RATES or there are OTHER DIFFERENCES between those that stay in the study and those that withdraw or are lost to follow up
-differential vs non differential
(Lose more people in one group than other)

19
Q

Types of measurement Bias “observer-related”

A

Interview Bias

Diagnosis/surveillance bias

20
Q

Interviewer bias (proficiency)

A

-Difference in soliciting, recording, or interpreting on the part of the researcher
-interviewers knowledge may influence the structure, or tone, of questions or follow-up questions which may influence response form the study subject OR
-interventions/treatments are not applied equally between groups due to skill or training differences of study personnel or differences n stud procedure compliance by Staff at different sites
(Conscious or unconscious)

21
Q

Diagnosis/ surveillance bias

A

Expectation bias

  • different evaluation, classification, diagnosis, or observation between study groups
  • observers may have preconceived expectations of what they shout find in examination, evaluation, or follow up
22
Q

Interviewer’s Hawthorne

A

Interviewer has preconceived notions
Smoker could get more questions geared to heart disease
Non smoker could get more questions geared to no heart disease

23
Q

Measurement bias “screening related”

A

Lead-time bias

24
Q

Lead time bias

A

Benefit from a healthcare screening due to the early detection fo disease despite an unchanged clinical outcome
-extra time afforded by early detection

25
Q

Misclassification bias

A

Error in classifying either disease or exposure status, or both
(Measurement bias)

26
Q

Non differential Misclassification bias

A

Error in both groups
-attenuate the effect estimates
(Moves closer to 1/ example: 1.3—>1.1 or 0.3–>0.7)
UNRELATED

27
Q

Differential Misclassification bias

A

Error in one group
-can inflate or attenuate the effect estimates
Inflation moves away from 1

28
Q

Controlling for bias using three things

A

Precise
Accurate
Medically appropriate

29
Q

Types of controls for biases

A

Blinding/masking
Use multiple sources to gather information
Randomly allocate observers/interviewers for data collection (AND TRAIN THEM)
Build in as many methods to minimize loss to follow up