WEEK 3: EPIDEMIOLOGY
counts
absolute number of events; numerator only
retrospective
both the exposure and the outcome have already occured
odds ratio
compares odds of exposure among those with a health outcome to the odds of exposure among those without the health outcome
relative risk, risk ratio
compares the risk among the exposed with the risk among non-exposed by means of a ratio
experimental epidemiology
perform interventions and/or assign treatments or interventions to study participants/outcomes
proportion
persons with the outcome of interest divided by the denominator of all persons (with and without the outcome)
outcome
potential result
rate
ratio in which time is contained in the denominator
ratio
reported as a fraction; no specified relationship between numerator and denominator
absolute risk reduction
simplest measure of therapeutic effect; aka "risk difference" or "attributable risk"
observational epidemiology
study behaviors, characteristics and outcomes of populations
referral bias
subjects are differentially referred to a study based on knowledge of their exposure
recall bias
subjects formed recall of their exposure or outcome differently
relative risk reduction
the extent to which therapy or exposure reduces a risk in comparison with individuals in the exposed groups not receiving therapy
epidemiology
the study of what comes upon people
causality
to make a judgment on whether the exposure casually affected the health outcome of interest consider factors such as: biological plausibility, consistency of findings, strength of association, temporal sequence of association
exposure
determinants of health related outcomes; factors that increase or decrease risk of a specific health outcome; may be personal characteristics or interventions
prospective
exposed and nonexposed are followed over time to compare outcome of interest
interviewer bias
individuals collecting data record or probe for information in a differential manner
chance
likelihood of observing an apparent exposure/health outcome relationship when one does not truly exist
prevalence
measure of the number of existing cases (old and new) in the population; the proportion of the population who has the disease of interest at the time of assessment
number needed to treat
number of individuals who would have to receive the treatment for 1 of them to benefit from the treatment over a specified period of time
incidence
number of new cases of disease occurring in the population during a specified period of time in previously disease or condition free individuals; estimates probability that a person will get ill (risk) or how rapid new cases occur
confounding
occurs when an exposure-outcome pathway is distorted by a third factor; a nuisance effect that distorts a study; related to both and is not in the causal pathway
selection bias
occurs when dissimilar procedures are used to select study subjects