POPH192 Lecture 25 - Selection Bias Flashcards
what is bias in epidemiology?
any systematic error in an epidemiological study that results in an incorrect estimate of the association. between exposure and risk of disease
why does bias matter?
because it can result in an incorrect estimate
the findings can be what when there is a systematic error?
finds could be
- over-estimated
- under-estimated
- not affected
when is the effect of a systematic error important?
important when
- critically appraising scientific literature
- in evidence-based practise
- considering studies reported in the media
- undertaking research
when is the only time when bias can be controlled?
selection and information bias can only be controlled during the design and data collection phases of a study
what is selection bias?
occurs when there is a systematic difference between the people who are included in a study and those are not, or when study and comparison groups are selected inappropriately or using different criteria
how do researchers recruit people into epidemiological studies?
- through advertisements
- researchers can randomly select people from the population
what is a case?
people with the outcome
what is a control?
people without the outcome
what is the relationship between selection of cars and controls and exposure status?
selection of cases and controls must be independant of the exposure status
how can you minimise selection bias in the selection of cases?
- ensure high participation
- clearly defined population of interest
- reliable way of ascertaining all cases or a representative sample of cases
what do you need to ensure for in controls to avoid potential bias in selection of controls?
ensure controls are from the same defined population as the cases over the same time period
what do you need to ensure for in inclusion/exclusion criteria to avoid potential bias in selection of controls?
sam elusion/exclusion criteria for caesura and controls
what does it mean to specify the direction of bias in relation to the null value?
specify if the measure of association has been biased towards or away from the null value (numerically upwards or downwards)
how can loss to follow up lead to selection bias?
if loss to follow-up is related to both the exposure and the outcome this can lead to bias