قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| تحليل العلاقة بين الجرعة والاستجابة× | دراسة الأتراب× | |
|---|---|---|
| المجال | علم الأوبئة | علم الأوبئة |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | Conceptual roots 16th century; modern epidemiological application mid-20th century | Mid-20th century (formal epidemiological design codified ~1950s) |
| صاحب الطريقة≠ | Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| النوع≠ | Quantitative analytical method | Observational longitudinal study design |
| المصدر التأسيسي | 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 |
| الأسماء البديلة | exposure-response analysis, concentration-response modeling, dose-response modeling, DRA | longitudinal study, follow-up study, panel study, incidence study |
| ذات صلة≠ | 4 | 6 |
| الملخص≠ | 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. | 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. |
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