เปรียบเทียบวิธี

	การวิเคราะห์ความสัมพันธ์ระหว่างขนาดของสิ่งกระตุ้นกับความเสี่ยงของผลลัพธ์	การศึกษาแบบกรณี-ควบคุม
สาขาวิชา	ระบาดวิทยา	ระบาดวิทยา
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	Conceptual roots 16th century; modern epidemiological application mid-20th century	1950s (formal methodology); precursors in the 1920s
ผู้ริเริ่ม	Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill	Janet Lane-Claypon (early precursors, 1926); formalized by Brian MacMahon and Jerome Cornfield in the 1950s–1960s
ประเภท	Quantitative analytical method	Observational analytic study design
แหล่งต้นตำรับ	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641	Schlesselman, J.J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027860
ชื่อเรียกอื่น	exposure-response analysis, concentration-response modeling, dose-response modeling, DRA	case-referent study, case-control design, retrospective case-control, case-control analysis
ที่เกี่ยวข้อง	4	6
สรุป	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.	A case-control study is a retrospective observational design in which individuals who have developed a disease or outcome of interest (cases) are compared with individuals who have not (controls) to determine whether prior exposure to a putative risk factor differs between the two groups. The primary measure of association is the odds ratio, which approximates the relative risk when the outcome is rare. Case-control studies are especially efficient for investigating rare diseases and generating etiological hypotheses.