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Estudo Epidemiológico Transversal×Estudo de Coorte×
ÁreaEpidemiologiaEpidemiologia
FamíliaProcess / pipelineProcess / pipeline
Ano de origem1960s (formal codification); widely practiced since mid-20th centuryMid-20th century (formal epidemiological design codified ~1950s)
Autor originalClassical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s)Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)
TipoObservational, descriptive/analytic epidemiological designObservational longitudinal study design
Fonte seminalKelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195080407Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
Outros nomesprevalence study, cross-sectional survey, transversal study, cross-sectional designlongitudinal study, follow-up study, panel study, incidence study
Relacionados66
ResumoA cross-sectional epidemiological study measures the exposure(s) and outcome(s) of interest simultaneously in a defined population at a single point in time (or over a short period). Because there is no follow-up, it is the most efficient observational design for estimating disease prevalence and for generating hypotheses about associations between risk factors and health outcomes.A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome.
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ScholarGateComparar métodos: Cross-sectional epidemiological study · Cohort Study. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare