विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| मेटा-विश्लेषणात्मक कॉक्स आनुपातिक खतरे× | कॉक्स प्रोपोर्शनल हैज़र्ड्स× | |
|---|---|---|
| क्षेत्र | महामारी विज्ञान | महामारी विज्ञान |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1998–2007 | 1972 |
| प्रवर्तक≠ | Parmar, Torri & Stewart; Tierney et al. | Sir David Roxbee Cox |
| प्रकार≠ | Meta-analytic survival model | Semi-parametric regression model |
| मौलिक स्रोत≠ | Tierney, J. F., Stewart, L. A., Ghersi, D., Burdett, S., & Sydes, M. R. (2007). Practical methods for incorporating summary time-to-event data into meta-analysis. Trials, 8(1), 16. DOI ↗ | Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202. DOI ↗ |
| उपनाम | pooled Cox regression meta-analysis, meta-Cox model, survival meta-analysis, Cox PH pooling | Cox regression, Cox PH model, proportional hazards model, CPH |
| संबंधित≠ | 3 | 5 |
| सारांश≠ | Meta-analytic Cox proportional hazards is a quantitative synthesis technique that pools log hazard ratios from multiple Cox regression survival analyses into a single, more precise estimate of the association between an exposure or treatment and a time-to-event outcome. It combines the inferential power of survival analysis with the evidence-aggregation logic of meta-analysis, making it the standard approach for summarising multi-study survival evidence in clinical and epidemiological 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. |
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