Bias Definition
Systemic (non-random) error in study design or conduct leading to erroneous results.
Distorts the relationship between exposure and outcome
3 Components of Bias
2 Main Categories of Bias
2. Measurement Related
Selection Related Bias
The way the researcher selects or acquires study subjects that creates a systemic difference between groups
Measurement-related Bias
Any aspect in the way the researcher collects information or measures/observes subjects which creates a systemic difference between groups
Types of Selection Bias
2. Self-Selection/Participant (Responder) Bias
Healthy-Worker Bias
Can be seen in prospective Cohort studies
The healthy workers would be taken as part of the study and those who have worked there and died or became sick are not counted. Even though they may have gotten sick because of exposure on the job
Self-Selection/ Participant (Responder) Bias
Those that volunteer may be different in some way to those who don’t volunteer
3 Main Types of Measurement Bias
Subject Related Biases
Recall (Reporting) Bias
Hawthorne Effect
Individuals report differently or change their behavior because they know they are being followed
Contamination Bias
Members of control group accidentally receive treatment or are exposed to the intervention being studied.
Compliance/Adherence Bias
Groups being interventionally studied have different compliances.
How well do the patients follow the instructions
Lost to Follow-up Bias
Groups being studied have different withdrawal rates.
The groups are no longer equal. Either in numbers or personal characteristics
Observer-Related Biases
2. Diagnosis/Surveillance (Expectation) Bias
Interviewer (Proficiency) Bias
Diagnosis/Surveillance (Expectation) Bias
Screening-Related Bias Example
Lead-Time Bias
Lead-Time Bias
An apparent benefit from a healthcare screening due to early detection of disease. Despite unchanged clinical outcome.
Misclassification Bias
Error in classifying either disease or exposure status or both
Non-differential
Misclassification of exposure or disease which is Unrelated to the other depending on study design
Effect: bias moves the measure of association closer to 1
Differential
Error in one group different than the other.
Misclassification of exposure or disease is related to the other, depending on study design
Effect: Bias can move in all directions
Controlling for Bias