SPHL 602 Module 8: Measurement Error Flashcards
Epidemiology
The study of the distribution and determinants of disease frequency in human populations and the application of this study to control health problems
Descriptive Epidemiology
The analysis of disease patterns according to the characteristics of person, place, and time
Who is getting the disease? Where is it occurring? How is it changing over time?
Bias
A systematic error that results in an incorrect (invalid) estimate of the measure of association between the exposure and disease
Ways that bias can be introduced
By the investigator, study participants, or the study design
Internal Validity
- There is no bias that is influencing
measurements, or - Bias is minimized
- If bias, confounding, and random error have been ruled out as alternative explanations for a study’s findings, the study is deemed internally valid
External Validity
- Internal validity must be established
- Results can be generalized beyond the study population
What are the two main types of bias in epidemiological research?
- Selection bias
2. Observation/information bias
Characteristics of bias (4)
- does not mean that the investigator is “prejudiced.”
- can arise in all study types: experimental, cohort, case-control
- occurs in the design and conduct of a study.
- can be evaluated but not fixed in the analysis phase
Selection Bias
- An error that results from procedures used
to select subjects and from factors that
influence participation in the study - Occurs when procedures used to select
study subjects lead to a result different
from what would have been obtained from
the entire population targeted for the study
In what types of studies is selection bias most likely to occur and why? (2)
In case-control or retrospective cohort studies because the exposure and outcome have already occurred at the time the subjects are selected
Where else can selection bias occur?
- In prospective cohort and experimental studies from differential loss to follow-up because this has an impact on which subjects are "selected" for analysis \+ Volunteer and non-response bias (Stigma Study) \+ Hospital patient bias \+ Healthy worker effect
Differential loss to follow-up
Drop-out related to outcome status and exposure status
Solutions to Selection Bias
- Use same criteria for selecting cases and controls
- Obtain all relevant subject records
- Obtain high participation rates
- Take into account diagnostic and referral patterns of disease
Observation Bias
An error that arises from systematic differences in the way information on exposure on or disease is obtained from the study groups
Characteristics of Observation Bias
- Results in participants who are incorrectly classified as either exposed or unexposed or as diseased or not diseased
- Occurs after the subjects have entered the study