Lecture 13 - Bias Flashcards
How asses for internal validity of study design?
Look for bias
3 Components of bias
- Source/type
- Magnitude/strength
- Direction
Can bias be fixed after study end?
No
Measurement related bias
Errors in data collection that creates systematic difference in groups
Selection related bias
Error in way researcher selects study subjects that creates systematic difference in groups
Selection biases:
- Healthy worker bias
- Self-selection/participant bias
- Control selection bias
- Pick those working but people working like healthy
- Volunteers might be different than those that choose not to
- If choose control as first 500 to answer phone that don’t have diabetes (some may not have phone or are at work)
Recall (Reporting) bias
Exposed or diseased have better recollection or exaggerate responses
Hawthorne effect (Part of recall bias)
Subjects report effects differently becasue part of study. Overly enthusiastic
Contamination bias
Control group accidentaly receive treatment that exposed did or received it outside of study
Compliance/adherence bias
Groups being interventionally studied have diff compliances
Lost to follow up bias
Groups have diff withdrawal or lost to follow up rates or other differences btw those that stay in study and those withdraw or lost to follow up (unreachable)
Subject related biases
Things related to subject groups that creates systematic difference in groups
Observer related variation
Systematic difference in groups caused by study coordinators/observers
Interview (proficiency) bias
Systematic difference in soliciting, recording, or interpreting on part of researcher, unconscious or conscious. Interviewers knowledge may affect how ask questions which influence response from subjects
Diagnostic/surveillance bias
Different evaluation, classification, diagnosis, or observation btw study groups.
Hawthorne like effect in surveillance bias
Observers may have preconcieved expectations of what they should find in study.
Misclassification bias
Measurement bias where there’s an error in classifying either the disease or exposure status or both. Put people in wrong group.
Non-differential misclassification bias
Error both groups equally
Effect on non-differential for dichotomous (2 category) variables
Moves measure of association (RR/OR) towards 1.Reduces magnitude of (attenuates) effect
Differential misclassification bias
Error in one group different than in other
Effect of differential
Move the OR/RR away from or towards 1.0. Can increase magnitude or decrease magnitude of association.
Non-differential also called…..
Conservative
Ways to control for bias
- Most accurate data collection tools and methods
- Blinding/masking
- multiple sources to gathers info
- Randomly allocate observers/interviewers
- decrease lost to follow up
- Use technology
- Train observer/interviewers
Ways to control for misclassification
Same as for biases. Misclassif is a measurement bias
If going to be errors want to be non-differential or differential?
Non-differential becasue will be balanced and will only decrease magnitude of effect