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| Matched Dose-Response Analysis× | 용량-반응 분석× | |
|---|---|---|
| 분야 | 역학 | 역학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1970s–1980s | Conceptual roots 16th century; modern epidemiological application mid-20th century |
| 창시자≠ | Developed within the matched case-control framework; formalized by Breslow and Day (1980) and Rothman and colleagues | Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill |
| 유형≠ | Analytical epidemiological method | Quantitative analytical method |
| 원전≠ | 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 |
| 별칭 | matched trend analysis, dose-response in matched designs, exposure-response analysis with matching, matched exposure-gradient analysis | exposure-response analysis, concentration-response modeling, dose-response modeling, DRA |
| 관련 | 4 | 4 |
| 요약≠ | Matched dose-response analysis evaluates whether increasing levels of exposure are associated with proportionally increasing (or decreasing) risk of an outcome, within a study where cases and controls — or exposed and unexposed individuals — have been deliberately matched on key confounders such as age, sex, or study site. Matching controls residual confounding structurally, while the dose-response component tests whether the exposure-outcome relationship follows a biologically plausible gradient, strengthening causal inference. | 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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