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	Prospektiv dos-responsanalys	Dose-Response Analysis
Ämnesområde	Epidemiologi	Epidemiologi
Familj	Process / pipeline	Process / pipeline
Ursprungsår	1965 (Hill's criteria); widely applied through 1980s–present	Conceptual roots 16th century; modern epidemiological application mid-20th century
Upphovsperson	Bradford Hill (causal criteria including dose-response, 1965); formalized in modern epidemiology by Rothman, Greenland and others	Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill
Typ	Analytical epidemiological study design	Quantitative analytical method
Ursprungskälla	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
Alias	prospective exposure-response analysis, prospective trend analysis, forward-looking dose-response study, prospective gradient analysis	exposure-response analysis, concentration-response modeling, dose-response modeling, DRA
Närliggande	4	4
Sammanfattning	Prospective dose-response analysis is an epidemiological approach that measures exposure levels in a defined population before outcomes occur, then quantifies how the risk or magnitude of an outcome changes systematically as exposure increases. By collecting exposure data prospectively, researchers can establish temporal sequence, reduce recall bias, and assess whether a biological gradient — one of Hill's classic causal criteria — exists between the agent of interest and a health outcome.	Dose-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.