Error and Bias Flashcards
Error
Assessment of error in a particlar study is first step in process of making any causal inference
Accuracy
It is divided in
How do we evaluate whether an association is true?
1. Validity
2. Precision (Reliablility)
Validity
Concerned with the degree of
SYSTEMATIC ERROR (BIAS) or
NON-RANDOM ERROR
- Influences the validity of the study
- Affects actual estimate of “risk” (e.g., OR, RR)
- Can bias association toward or away from the null
- Divided in Internal and external validity
1. Divided in
1.1. Selection Bias
1.2 Measurement bias
1.3.Confounding
Precision (Reliable)
Concernes with the degree of
NON SYSTEMATIC ERROR or RANDOM ERROR
- Influences reliability of the study
- Chance
- Affects variability around “risk” (e.g., 95% CI)
1. Divided in
1.1.random measurement error
1.2 sampling error
Selection bias
From validity
- Case control studies
1.1 Sampling C&C is dependent or based on exposure status - Cohort studies
2.1 Self selection (Volunteers differ systematically from non-volunteers.)
2.2 Loss to follow up (attrition)
2.3 Non-responders
2.4 Healthy worker effects (Workers are healthier than the general population.)
May bias the effect estimate compared to true estimate:
* Away from the Null (Large or small OR,RR)
* Towards the Null (Close OR,RR =1)
Measurement bias (aka Information bias)
From validity
- Recall bias (Cases remember exposure differently from controls.)
- Reporting bias (Systematic underreporting or overreporting.)
- Interviewer bias (Probing differently based on preconceived notions.)
- Suverillance bias (Uneven monitoring leads to differential detection.)
Can be:
* Differential: Away from the Null (Large or small OR,RR 5.7). Different only in control group.
* Non Differential: Towards the Null (Close OR,RR =1) Similar among exposed vs unexposed
Internal Validity
Validity
Accuracy of the study results. Inference to target population.
- Appropiate measures
- Appropiate techniques
- Accurate estimation
- True OR =3, Estimated OR =3
External validity
How well the results relate to the target population
- Estimates are applicable or may be generalized to the larger population
Minimizing Bias (Systematic error/Validity)
Selection Bias
* Objective case definitions and analytic procedures
* Enroll all aprticipants in defined time and place
* Similar procedures for selection all participants
* Strive for high participation and incentives to avoid loss to follow up
Measurement/Information Bias
* Training staff properly
* Blind participants and staff to exposure/disease
* Memory aids to help participants recall
* Standarize data collection methods
Impacts of Bias (Systematic error/Validity)
- Affects the validity of the study
- Creates systematic bias and differences from true results that persist across multiple studies
- Cannot typically be “fixed” during analysis phase
As we increase the study size, impacs of random errors decrease.
Random Measurement Bias
Precision
- Reduced reliability of measure
- Results in non-differential misclassification
Precision
Inconsistent data collection, leading to non-differential misclassification.
Sampling Error:
- Non representative sample
- Reduced by increasing sample size
Non-representative sample due to chance.
Minimizing Random error (Non-systematic error/Precision)
- Increase sample size.
- Standardize measurement instruments and protocols.