Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Utafiti wa Kiikolojia wa Retrospective× | Uchambuzi wa Uhusiano wa Dozi-Majibu× | |
|---|---|---|
| Nyanja | Epidemiolojia | Epidemiolojia |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 20th century (formalized ~1980s–1990s) | Conceptual roots 16th century; modern epidemiological application mid-20th century |
| Mwanzilishi≠ | Epidemiological tradition; formalized by Morgenstern and others | Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill |
| Aina≠ | Observational epidemiological design | Quantitative analytical method |
| Chanzo asilia≠ | Morgenstern, H. (1998). Ecologic studies. In K. J. Rothman & S. Greenland (Eds.), Modern Epidemiology (2nd ed., pp. 459–480). Lippincott-Raven. link ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Majina mbadala | retrospective aggregate study, historical ecological study, retrospective correlational ecological design, population-level retrospective study | exposure-response analysis, concentration-response modeling, dose-response modeling, DRA |
| Zinazohusiana≠ | 5 | 4 |
| Muhtasari≠ | A retrospective ecological study examines associations between exposures and outcomes using pre-existing aggregate data from defined populations or geographic units. Rather than following individual subjects, the unit of analysis is a group — a country, region, or time period — and all measurements come from historical records already collected before the study began. It is a rapid, low-cost way to generate hypotheses about environmental, social, or policy determinants of disease at the population level. | 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. |
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