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| 前向き用量反応分析× | 用量反応分析× | |
|---|---|---|
| 分野 | 疫学 | 疫学 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 1965 (Hill's criteria); widely applied through 1980s–present | Conceptual roots 16th century; modern epidemiological application mid-20th century |
| 提唱者≠ | 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 |
| 種類≠ | Analytical epidemiological study design | Quantitative analytical method |
| 原典 | 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 |
| 別名 | 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 |
| 関連 | 4 | 4 |
| 概要≠ | 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. |
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