Observational Study Design Flashcards
descriptive studies
aim to describe occurrence and distribution of disease or other phenomena
descriptive stats
analytic studies
aim to test hypothesis or provide explanation aout a disease or other phenomena
inferential stats
case report
detailed presentation of the symptoms, signs, diagnosis, treatment, follow up of indiv pt
can contain demographic profile of the pt but usually unusual or novel occurrence
case series
presentation of a disease in a number of pts
no control or comparison groups
cohort study
cohort/group of subjects selected based on the exposure to a risk factor at the beginning of a study
-divide subjects into exposed vs non exposed
-selected from the same source population (no inherent confounding)
followed in time to determine which will dev the disease
not good for rare diseases bc time consuming, laborious, expensive
cohort study calculations
- absolute risk for each group (exposed vs non exposed)
- difference b/t the two risks or relative risks b/t two groups
inception cohort
pt’s just diagnosed then followed to determine prognosis (survival)
historical cohort
aka retrospective
researcher has access to info about the prior exposure of a particular group/cohort to see which developed the disease of interest
still separated by exposure to risk at a time point in the past
case control study
compare people who do have the diseases/cases with similar people who do not
start with outcome (subjects selected based on presence/absence of specific disease)
then look into past for exposures to a risk and examine frequency of exposure in cases vs controls
good for rare diseases, easy/cheap/quick
aka compare odds of exposure of risk with cases vs controls
issues of case control
matching- attempt to ensure comparability and reduce the variabilty/systemic differences due to background variables not of interest
bias- selection bias, interview bias, completeness/accuracy of recorded info
selection of cases- explicitly defined criteria prior to selection, from variety of sources
selection of controls- cases and controls should stem from same population
cross sectional studies
analyzes data collected from a pop or subset at a specific point in time
-examine exposure and outcome that occur at the same single time point
aka prevalence survey
longitudinal study
repeated observations of same subjects over a period of time