Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ зависимости «доза-эффект» с поправкой на риск× | Анализ «доза-эффект»× | |
|---|---|---|
| Область | Эпидемиология | Эпидемиология |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1980s-1990s (formalized in modern epidemiology) | Conceptual roots 16th century; modern epidemiological application mid-20th century |
| Автор метода≠ | Sander Greenland; Kenneth Rothman (foundational epidemiological methods) | Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill |
| Тип≠ | Epidemiological modeling technique | Quantitative analytical method |
| Основополагающий источник≠ | Greenland, S. (1995). Dose-response and trend analysis in epidemiology: alternatives to categorical analysis. Epidemiology, 6(4), 356-365. DOI ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Другие названия | confounder-adjusted dose-response, covariate-adjusted dose-response modeling, risk-stratified dose-response analysis, adjusted exposure-response analysis | exposure-response analysis, concentration-response modeling, dose-response modeling, DRA |
| Связанные | 4 | 4 |
| Сводка≠ | Risk-adjusted dose-response analysis quantifies the relationship between increasing levels of an exposure (dose) and the probability or magnitude of an outcome (response), while simultaneously controlling for baseline risk factors that could confound or modify this relationship. The method is widely applied in clinical epidemiology, pharmacoepidemiology, and environmental health research to isolate the causal contribution of exposure intensity from background risk heterogeneity among participants. | 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. |
| ScholarGateНабор данных ↗ |
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