Exam 2: lecture 1 BIAS Flashcards
Bias
Systematic (non random) error in study design or conduct leading to erroneous results
What does bias distort?
Relationship between exposure and outcome
Can a bias be fixed?
No; once it has already occurred (after study ends)
What can be done to lower bias?
Prospective consideration
-still must assess for it to confirm internal validity
That are the elements of bias impact that investigator look at?
Source/type
Magnitude/strength
Direction
Magnitude/ strength in bias
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)
Direction in bias
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)
Selection- related bias
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!!!!
Measurement-related (info/observed) BIAS
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
Types of selection Bias
Healthy-worker bias
Self-selection/ participant (responder) bias
Healthy worker bias
Can easily be seen in prospective cohort studies
Self-selection bias
Those that wish to participate may be different in some way to those that don’t volunteer or self-select
Types of measurement Bias “subject related”
Recall bias
Contamination bias
Compliance/ adherence bias
Lost to follow up bias
Recall bias
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
Hawthorne effect
People know they are being watch, they do what their suppose to
Contamination bias
Controlled group accidentally, or outside of study protocol, receive the treatment
Compliance/adherence bias
Groups being interventionally studied have different compliance (people follow rules differently)
Lost to follow up bias
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)
Types of measurement Bias “observer-related”
Interview Bias
Diagnosis/surveillance bias
Interviewer bias (proficiency)
-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)
Diagnosis/ surveillance bias
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
Interviewer’s Hawthorne
Interviewer has preconceived notions
Smoker could get more questions geared to heart disease
Non smoker could get more questions geared to no heart disease
Measurement bias “screening related”
Lead-time bias
Lead time bias
Benefit from a healthcare screening due to the early detection fo disease despite an unchanged clinical outcome
-extra time afforded by early detection
Misclassification bias
Error in classifying either disease or exposure status, or both
(Measurement bias)
Non differential Misclassification bias
Error in both groups
-attenuate the effect estimates
(Moves closer to 1/ example: 1.3—>1.1 or 0.3–>0.7)
UNRELATED
Differential Misclassification bias
Error in one group
-can inflate or attenuate the effect estimates
Inflation moves away from 1
Controlling for bias using three things
Precise
Accurate
Medically appropriate
Types of controls for biases
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