bias Flashcards
what can be done about bias
selection and information bias can only be controlled in the design and data collection phases
define bias
any systematic error in a study that results in an incorrect estimate of the association between exposure and risk of disease
to minimise bias at study start what two things do researchers have to do
at the planning stages of a study investigators must identify potential sources of bias in the proposed study, identify possible ways to minimise these potential biases
what is selection bias
when there is systematic differences between the people chosen and not chosen for a study, or when the study groups are selected inappropriately or using different criteria
3 important considerations in selection bias
who agrees to be in the study, how did we recruit them, do they all remain in the study
how do we minimise loss to follow up
create main and alternative means of contact at the start of the study.
maintain regular updates like study newsletters
make several attempts to contact
what are the magical bias sentences?
the measure of association is biased numerically upward/downward towards the null. therefore bias has resulted in an over/under estimation of the association between X and Y
what are the steps of answering the bias questions
1: draw the MoA equation
2: answer the following, who does it affect, how does it affect them, what does this mean for the MoA
3: draw the numberline with true and biased MoA
4: state the three magical sentences
what is information bias
observation and information bias result from systematic differences in the way data on the exposure or outcome are obtained from the various study groups
two ways measurement error can occur
participants provide inaccurate responses, forget old exposures or over/under estimate an exposure.
or data is collected incorrectly or inaccurately, problem with measuring device
* E.g. person collecting the data doesn’t follow the same procedure for all participants
what effect may effect might measurement error have in descriptive or analytic study
in descriptive study it could over or under estimate the prevalence,
in an analytic it could lead to misclassification
define differential and non differential misclassification
when measurement error and any resulting missclassification occurs equally or inequally in the groups being compared
examples of differential misclassification in cohort, cross sectional and case control studies
Cross sectional: people with the outcome might report the exposure differently to those without the outcome
cohort study: an interviewer aware of the exposure status may ask different questions between groups
case control: interviewer may conduct interview differently if they know who they are interviewing. or cases may more accurately remember their past exposures
what is recall bias
systematic error due to differences in accuracy or completeness of recall to memory of past events or experiences
how can we minimise recall bias
objective measures, validate the self reported data with other information, provide memory aids like dates