विधियों की तुलना करें

	जोखिम-समायोजित नेस्टेड केस-कंट्रोल	कॉक्स प्रोपोर्शनल हैज़र्ड्स
क्षेत्र	महामारी विज्ञान	महामारी विज्ञान
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1977 (nested case-control); risk-adjusted extensions 1980s–2000s	1972
प्रवर्तक	Thomas (1977) for nested case-control; risk adjustment extensions developed through pharmacoepidemiology literature (1980s–2000s)	Sir David Roxbee Cox
प्रकार	Observational analytical study design	Semi-parametric regression model
मौलिक स्रोत	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.	Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202.
उपनाम	risk-adjusted NCC, covariate-adjusted nested case-control, propensity-score nested case-control, nested case-control with risk adjustment	Cox regression, Cox PH model, proportional hazards model, CPH
संबंधित	4	5
सारांश	A risk-adjusted nested case-control study embeds a case-control comparison inside a defined cohort and explicitly accounts for differences in baseline risk between cases and controls through covariate adjustment — most commonly via risk scores, propensity scores, or stratification. It preserves the efficiency advantages of the nested design while reducing confounding attributable to pre-existing risk differentials, making it especially valuable in pharmacoepidemiology and clinical effectiveness research.	The Cox proportional hazards model is a semi-parametric regression method that estimates the effect of one or more covariates on the hazard — the instantaneous rate of an event such as death, relapse, or failure — while making no assumption about the shape of the baseline hazard function. Introduced by David Cox in 1972, it is the dominant tool for multivariable survival analysis in clinical and epidemiological research.