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Analiza zależności dawka-reakcja×Badanie kohortowe×
DziedzinaEpidemiologiaEpidemiologia
RodzinaProcess / pipelineProcess / pipeline
Rok powstaniaConceptual roots 16th century; modern epidemiological application mid-20th centuryMid-20th century (formal epidemiological design codified ~1950s)
TwórcaParacelsus (conceptual foundation); formalized by John Snow and later Bradford HillDoll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)
TypQuantitative analytical methodObservational longitudinal study design
Źródło pierwotneRothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
Inne nazwyexposure-response analysis, concentration-response modeling, dose-response modeling, DRAlongitudinal study, follow-up study, panel study, incidence study
Pokrewne46
PodsumowanieDose-response analysis quantifies the relationship between the magnitude of an exposure (the dose) and the probability or rate of an outcome (the response). It is a core analytical strategy in epidemiology and toxicology, providing evidence that increasing exposure systematically increases — or decreases — the risk of disease. A demonstrated dose-response gradient is one of Bradford Hill's classic criteria supporting causal inference.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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ScholarGatePorównaj metody: Dose-Response Analysis · Cohort Study. Pobrano 2026-06-17 z https://scholargate.app/pl/compare