قارن الطرق

	دراسة الحالة والشاهد المعدلة بالمخاطر	دراسة الأتراب
المجال	علم الأوبئة	علم الأوبئة
العائلة	Process / pipeline	Process / pipeline
سنة النشأة	1950s–1980s (case-control design from 1950; risk-adjustment conventions established by 1980s)	Mid-20th century (formal epidemiological design codified ~1950s)
صاحب الطريقة	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)
النوع	Observational analytic study design	Observational longitudinal study design
المصدر التأسيسي	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
الأسماء البديلة	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
ذات صلة	5	6
الملخص	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.