Observational Bias in Statistical Analysis
- Observational bias is a common type of systematic error that occurs in studies where there is inaccurate:
- Classification of disease
- Measurement of disease
- Detection Bias:
- Increased monitoring of a group of exposed patients due to a known risk factor compared to an unexposed group that leads to a higher probability of detecting the disease.
- Observer Bias:
- Misclassification of date because of differences in
observer interpretation or expectations regarding the study.
- Recall Bias:
- Relies on the subject to remember certain information accurately.Subjects who have a negative outcome may be more likely to report certain exposures compared to subjects who had a positive outcome.
- Reporter Bias:
- The subject either over or under report exposures due to perceived social stigmatization or based on what that subject believes to be important.
Common Reasons for Observational Bias