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| 実践的用量反応分析× | 用量反応分析× | |
|---|---|---|
| 分野 | 疫学 | 疫学 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 1990s–2000s (formalized in pragmatic trial context) | Conceptual roots 16th century; modern epidemiological application mid-20th century |
| 提唱者≠ | 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 |
| 種類≠ | Observational or experimental quantitative method | Quantitative analytical method |
| 原典≠ | 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. DOI ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| 別名 | 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 |
| 関連 | 4 | 4 |
| 概要≠ | 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. |
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