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| 위험 조정된 환자-대조군 연구× | 코호트 연구× | |
|---|---|---|
| 분야 | 역학 | 역학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1950s–1980s (case-control design from 1950; risk-adjustment conventions established by 1980s) | Mid-20th century (formal epidemiological design codified ~1950s) |
| 창시자≠ | Doll & Hill (foundational case-control); risk adjustment via multivariate logistic regression systematised by Schlesselman (1982) and Breslow & Day (1980) | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| 유형≠ | Observational analytic study design | Observational longitudinal study design |
| 원전≠ | Schlesselman, J. J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195029697 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| 별칭 | adjusted case-control study, covariate-adjusted case-control, risk-stratified case-control study, matched and adjusted case-control study | longitudinal study, follow-up study, panel study, incidence study |
| 관련≠ | 5 | 6 |
| 요약≠ | A risk-adjusted case-control study is an observational design that identifies individuals with a disease outcome (cases) and comparable individuals without it (controls), then uses statistical adjustment — most commonly multivariable logistic regression — to estimate the association between an exposure and the outcome while controlling for confounding risk factors. The adjustment step is what distinguishes this variant from a simple case-control study, producing odds ratios that better reflect the independent contribution of the exposure of interest. | 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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