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Observational Studies
used to identify risk factors, and to estimate the quantitative effects of the various component causes that contribute to the occurrence of disease.
investigations
based on analysis of natural disease occurrence in populations by comparing groups of individuals with respect to disease occurrence and exposure to hypothesized causal factors
Observational Studies
the investigator is not free to allocate factors to individuals
Experimental Studies
the investigator is free to allocate factors to individuals at random.
Cohort study
animals exposed to a hypothesized causal factor (HCF), and a group not exposed to the factor are selected and observed to record development of disease in each group.
Case control study
a group of diseased animals (case) and a group of non-diseased animals (controls) are selected and compared with respect to presence of the hypothesized risk factor.
Cross sectional study
involves the selection of a sample of n individuals from a sample of a larger population, and then the determination, for each individual, of the simultaneous presence or absence of disease and hypothesized causal factor.
Prospective Study, Incidence study, follow-up study, longitudinal study
Other terms for Cohort Study (4)
Cohort Study
Analytic, Observational, Prospective, Longitudinal, Exposure-based
Cohort Study
Exposed grp and Unexposed grp (both free of disease of interest!)
Cohort
grp of people who share the same char.
Closed fixed cohort
fixed grp ffd up from a certain point in time until a defined endpoint w/o losses to follow up
Open or dynamic cohort
persons enter or leave the study anytime; changing exposures;
Prospective cohort
exposed and unexposed groups are followed up over time for the development of disease of interest
Prospective cohort
Study participants are free of dz, and at risk of dev’g d dz
Retrospective cohort
individuals who are free of the dz/outcome of interest at some point in the past are identified and classified according to exposure levels
Retrospective cohort
the specified follow up period has elapsed, both disease and outcome status of subjects have occurred
Selection bias
occurs when the grp actually studied does not reflect d same distribution of factors (age, race, smoking, etc) as occurs in d general population.
Follow-up bias
if the rate of disease among those lost to follow up is different in the exposed as in the unexposed group, then there will be distortion of the estimates
Confounding
variables which are both related to the exposed and the outcome which, when not taken into account, can cause the investigator to conclude that a factor increases risk for the disease when in fact it is not (or may fail to detect an association that exist)
Misclassification bias
results from inaccurate meas’t of factor or disease
Non-differential misclassification
occurs when errors are in similar proportions in the exposed and unexposed group, happens when same data collection method is used for both groups (bias usually towards null)
Differential misclassification
occurs when rates of error differ in the 2 grps (there may be an over- or underestimate of rates)
Confounding
effect of an extraneous variable that distorts d relationship between exposure (E) and disease (D)
Bias
systematic deviation from the truth (systematic error), consequence of study design, occurs at any stage of the research process