Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Utafiti wa Kesi-Udhibiti Uliojengwa kwa Vitendo× | Utafiti wa Cohort× | |
|---|---|---|
| Nyanja | Epidemiolojia | Epidemiolojia |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1977 (nested case-control); pragmatic variant emerged in real-world evidence research from 1990s onwards | Mid-20th century (formal epidemiological design codified ~1950s) |
| Mwanzilishi≠ | Duncan Thomas (nested case-control); pragmatic design concept from Schwartz & Lellouch (1967) | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| Aina≠ | Observational epidemiological study design | Observational longitudinal study design |
| Chanzo asilia≠ | Thomas, D. C. (1977). Addendum to: Methods of cohort analysis: Appraisal by application to asbestos mining. Journal of the Royal Statistical Society, Series A, 140(4), 469–491. link ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Majina mbadala | real-world nested case-control, pragmatic NCC, nested case-control in routine data, real-world evidence nested case-control | longitudinal study, follow-up study, panel study, incidence study |
| Zinazohusiana≠ | 5 | 6 |
| Muhtasari≠ | A pragmatic nested case-control study embeds a case-control analysis within a pre-existing real-world cohort — typically drawn from electronic health records, administrative claims, or disease registries — to examine associations between exposures and outcomes under routine clinical conditions. Controls are sampled from the risk set (those still at risk at the time each case occurs), preserving temporal sequence while dramatically reducing data-collection costs compared with a full cohort analysis. | 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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