Design Strategies and Statistical methods in Analytic Epidemiology Flashcards
Analytic studies
evaluate hypotheses about associations between exposure and outcome variables; attempt to answer why and how a health-related state or event occurred; have a comparison group
Observational exploratory study
researchers examine relationships between variables; useful for identifying cause-effect relationships
Observational analytic study
begins with a hypothesis and evaluates associations between exposure and outcome variables
Types of analytic observational studies
case-control studies
cohort
case-crossover
nested case-control
Incidence
new cases
Prevalence
existing cases
Case-control study
investigates the presence of a potential risk factor between cases and controls
Exposure status
collected in a similar manner between cases/controls to avoid bias
Measuring the association between exposure and outcome variables is
the appropriate measure of association to use as it depends on the nature of the data
Bias
systematic error in the collection or interpretation of epidemiologic data
Results in inaccurate over or under estimation of the association between exposure and outcome
bias
Types of bias in case-control studies
selection, observational, misclassification, confounding
Confounding
an outside factor is associated with a disease outcome and is independently linked with an exposure (age, sex, education level, smoking)
Controlling for bias
matching
Matching
a strategy in which the distribution of potential confouding factors is forced to be similar between the cases and controls
2 types of selection bias in cohort studies
healthy worker effect, loss to follow-up