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A cohort study is a particular form of longitudinal study that samples a cohort (a group of people who share a defining characteristic, typically those who experienced a common event in a selected period, such as birth or graduation), performing a cross-section at intervals through time.
Case–control study versus cohort on a timeline. "OR" stands for "odds ratio" and "RR" stands for "relative risk".In statistics, epidemiology, marketing and demography, a cohort is a group of subjects who share a defining characteristic (typically subjects who experienced a common event in a selected time period, such as birth or graduation).
A cross-sequential design is a research method that combines both a longitudinal design and a cross-sectional design. It aims to correct for some of the problems inherent in the cross-sectional and longitudinal designs.
Cohort analysis is a kind of behavioral analytics that breaks the data in a data set into related groups before analysis. These groups, or cohorts, usually share common characteristics or experiences within a defined time-span.
In a typical experimental study, there will be at least one "experimental" condition (e.g., "treatment") and one "control" condition ("no treatment"), but the appropriate method of grouping may depend on factors such as the duration of measurement phase and participant characteristics: Cohort study; Cross-sectional study; Cross-sequential study
Cohort (taxonomy), in biology, one of the taxonomic ranks; Cohort study, a form of longitudinal study used in medicine and social science; Cohort analysis, a subset of behavioral analytics that takes the data from a given data set; Generational cohort, an aggregation of individuals who experience the same event within the same time interval
Case–control study versus cohort on a timeline. "OR" stands for "odds ratio" and "RR" stands for "relative risk". A prospective cohort study is a longitudinal cohort study that follows over time a group of similar individuals ( cohorts ) who differ with respect to certain factors under study to determine how these factors affect rates of a ...
Longitudinal study: Participants are studied at multiple time points. May address the cohort effect and help to indicate causal directions of effects. Cross-sequential study: Groups of different ages are studied at multiple time points; combines cross-sectional and longitudinal designs