เปรียบเทียบวิธี

	การวิเคราะห์ความสัมพันธ์ตามขนาดปริมาณเชิงปฏิบัติ	การวิเคราะห์ความสัมพันธ์ระหว่างขนาดของสิ่งกระตุ้นกับความเสี่ยงของผลลัพธ์
สาขาวิชา	ระบาดวิทยา	ระบาดวิทยา
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1990s–2000s (formalized in pragmatic trial context)	Conceptual roots 16th century; modern epidemiological application mid-20th century
ผู้ริเริ่ม	Rooted in pharmacoepidemiology and pragmatic trial methodology; PRECIS framework by Thorpe et al. (2009)	Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill
ประเภท	Observational or experimental quantitative method	Quantitative analytical method
แหล่งต้นตำรับ	Greenland, S., & Longnecker, M. P. (1992). Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. American Journal of Epidemiology, 135(11), 1301–1309.	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
ชื่อเรียกอื่น	real-world dose-response analysis, pragmatic exposure-response study, dose-response in pragmatic trials, effectiveness dose-response analysis	exposure-response analysis, concentration-response modeling, dose-response modeling, DRA
ที่เกี่ยวข้อง	4	4
สรุป	Pragmatic dose-response analysis quantifies how varying levels of an exposure or treatment relate to clinical outcomes under real-world conditions. By embedding dose-response questions within pragmatic study designs — broad eligibility criteria, routine care settings, and heterogeneous populations — it bridges the gap between controlled pharmacological dose-finding and the messy variability of everyday clinical practice. The approach is especially valued when the goal is to establish or refine optimal dosing guidance from evidence that reflects actual patient populations.	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.