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| Dose-Response Analysis× | Monikeskus-kohorttitutkimus× | |
|---|---|---|
| Tieteenala | Epidemiologia | Epidemiologia |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | Conceptual roots 16th century; modern epidemiological application mid-20th century | Mid-to-late 20th century (widespread adoption 1970s–1990s) |
| Kehittäjä≠ | Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill | Developed incrementally through large collaborative epidemiological projects (e.g., Framingham Heart Study consortium expansions, 1948 onward; EPIC study, 1992) |
| Tyyppi≠ | Quantitative analytical method | Observational longitudinal study |
| Alkuperäislähde | 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 |
| Rinnakkaisnimet | exposure-response analysis, concentration-response modeling, dose-response modeling, DRA | multisite cohort study, multi-centre cohort, collaborative cohort study, pooled cohort study |
| Liittyvät≠ | 4 | 6 |
| Tiivistelmä≠ | 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 multicenter cohort study follows defined groups of participants at two or more geographically or institutionally distinct sites over time to estimate incidence, identify risk factors, and quantify associations between exposures and outcomes. By pooling data from multiple centers, it achieves statistical power and population diversity that single-site designs cannot match, making it the workhorse of large-scale epidemiological and clinical research. |
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