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Estudi epidemiològic retrospectiu transversal×Estudi Epidemiològic Transversal×
CampEpidemiologiaEpidemiologia
FamíliaProcess / pipelineProcess / pipeline
Any d'origenMid–late 20th century1960s (formal codification); widely practiced since mid-20th century
Autor originalEpidemiology tradition (formalized in mid-20th century; Rothman, Greenland and others)Classical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s)
TipusObservational study designObservational, descriptive/analytic epidemiological design
Font seminalRothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195080407
Àliesretrospective cross-sectional survey, record-based cross-sectional study, retrospective prevalence study, secondary-data cross-sectional studyprevalence study, cross-sectional survey, transversal study, cross-sectional design
Relacionats56
ResumA retrospective cross-sectional epidemiological study measures the prevalence of exposures and outcomes at a single analytical time point using data that were originally recorded in the past — such as medical records, administrative databases, or disease registries. It combines the snapshot logic of a cross-sectional design with the efficiency of retrospective data access, making it a practical choice when prospective data collection is unfeasible or when large existing datasets are available.A 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.
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ScholarGateCompara mètodes: Retrospective cross-sectional epidemiological study · Cross-sectional epidemiological study. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare