Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Когортное исследование× | Мета-анализ дозовых зависимостей× | |
|---|---|---|
| Область≠ | Эпидемиология | Синтез доказательств |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Mid-20th century (formal epidemiological design codified ~1950s) | 1992 |
| Автор метода≠ | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) | Greenland & Longnecker (1992), Advanced by Orsini et al. (2012) |
| Тип≠ | Observational longitudinal study design | Method |
| Основополагающий источник≠ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Greenland, S., & Longnecker, M. P. (1992). Methods for trend estimation of environmental health risks, with application to exposure to contaminated groundwater. Statistics in Medicine, 11(14‐15), 1837–1847. link ↗ |
| Другие названия≠ | longitudinal study, follow-up study, panel study, incidence study | Dose-Response Relationship, Non-Linear Meta-Analysis, Dose-Effect Synthesis |
| Связанные≠ | 6 | 1 |
| Сводка≠ | A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome. | Dose-response meta-analysis is a specialized evidence synthesis method that models the relationship between exposure dose (or intensity, duration, quantity) and health outcome across multiple studies, assessing whether effects follow a linear trend, nonlinear curve, or threshold pattern. Pioneered by Greenland and Longnecker (1992) and refined by Orsini et al. (2012), dose-response meta-analysis answers critical questions like 'Does cardiovascular disease risk increase consistently with salt intake, or is there a threshold above which risk plateaus?' and 'Does the benefit of physical activity increase linearly with exercise duration, or do diminishing returns occur at high doses?' This method is essential for risk assessment, policy-setting on safe exposure limits, and optimizing treatment dosing. |
| ScholarGateНабор данных ↗ |
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