Bias Flashcards
Confounding definition
The mixing of effects between the exposure, the disease, and a 3rd variable termed a cofounder. Cofounders distort the relationship
Bias definition
systematic error in the design or conduct of study that leads to an erroneous association between the exposure and the disease
results in an incorrect or invalid estimate of the measure of association
Random error
probability that the observed result is due to chance, an uncontrollable force that seems to have no assignable cause
2 main types of bias
selection bias - occurs during selection and follow-up
information/observation bias - occurs during data collection
common selection bias studies
case-control
retrospective cohort
can occur in cohort and exp. studies from diff loss to follow-up
nondifferential loss to follow up
relative measure of association unaffected
absolute measure biased towards the null
differential loss to follow-up
can bias relative and absolute measures of association upward or downward
information bias
systematic difference in the way that the exposure or outcome is measured between compared groups
- occurs after subjects enter study
- pertains to how data is collected
- results in incorrect classification of participants as either exposed/unexposed or diseased/not diseased
healthy worker effect
selection bias that occurs in cohort studies (PMR and SMR)
healthy workers compared to general population
Recall bias
differential level of accuracy in the information provided by compared groups
most common in case-control studies
To minimize recall bias:
select a diseased control group
design structured questionnaires
Interviewer bias
systematic difference in soliciting, recording, or interpreting information that occurs in studies using in-person or telephone interviews
Misclassification
measurement error, most common
How to reduce misclassification?
improve accuracy of collected data
validation
use better information source for the exposure or disease
define exposure/disease using sensitive and specific criteria
Neyman bias
incidence-prevalence bias, arises when a gap in time occurs between exposure and selection of study participants
case group not representative of cases in the community