방법 비교

	위험 조정된 용량-반응 분석	용량-반응 분석
분야	역학	역학
계열	Process / pipeline	Process / pipeline
기원 연도	1980s-1990s (formalized in modern epidemiology)	Conceptual roots 16th century; modern epidemiological application mid-20th century
창시자	Sander Greenland; Kenneth Rothman (foundational epidemiological methods)	Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill
유형	Epidemiological modeling technique	Quantitative analytical method
원전	Greenland, S. (1995). Dose-response and trend analysis in epidemiology: alternatives to categorical analysis. Epidemiology, 6(4), 356-365.	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
별칭	confounder-adjusted dose-response, covariate-adjusted dose-response modeling, risk-stratified dose-response analysis, adjusted exposure-response analysis	exposure-response analysis, concentration-response modeling, dose-response modeling, DRA
관련	4	4
요약	Risk-adjusted dose-response analysis quantifies the relationship between increasing levels of an exposure (dose) and the probability or magnitude of an outcome (response), while simultaneously controlling for baseline risk factors that could confound or modify this relationship. The method is widely applied in clinical epidemiology, pharmacoepidemiology, and environmental health research to isolate the causal contribution of exposure intensity from background risk heterogeneity among participants.	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.