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| Multicenter dose-response analysis× | Dose-Response Analysis× | |
|---|---|---|
| Ämnesområde | Epidemiologi | Epidemiologi |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår≠ | 1992 (foundational trend methods); refined 2000s–2010s | Conceptual roots 16th century; modern epidemiological application mid-20th century |
| Upphovsperson≠ | Greenland & Longnecker; extended by Orsini et al. | Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill |
| Typ≠ | Quantitative epidemiological analysis | Quantitative analytical method |
| Ursprungskälla≠ | 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 |
| Alias | pooled dose-response analysis, multicenter exposure-response analysis, multi-site dose-response modeling, collaborative dose-response study | exposure-response analysis, concentration-response modeling, dose-response modeling, DRA |
| Närliggande≠ | 2 | 4 |
| Sammanfattning≠ | Multicenter dose-response analysis estimates the quantitative shape of the relationship between a graded exposure and a health outcome by pooling data or effect estimates across two or more study centers. Using flexible regression tools such as restricted cubic splines or fractional polynomials within a two-stage meta-analytic framework, it characterizes whether the relationship is linear, supra-linear, threshold-based, or J-shaped — providing far greater statistical power and generalizability than any single center could achieve alone. | 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. |
| ScholarGateDatamängd ↗ |
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