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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Meta-analiza e Hazard Ratiosve Proporcionale të Cox×Modeli i Rrezikut Proporcional të Cox×
FushaEpidemiologjiEpidemiologji
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinës1998–20071972
KrijuesiParmar, Torri & Stewart; Tierney et al.Sir David Roxbee Cox
LlojiMeta-analytic survival modelSemi-parametric regression model
Burimi themeluesTierney, 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 ↗
Emërtime të tjerapooled Cox regression meta-analysis, meta-Cox model, survival meta-analysis, Cox PH poolingCox regression, Cox PH model, proportional hazards model, CPH
Të lidhura35
PërmbledhjaMeta-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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ScholarGateKrahasoni metodat: Meta-analytic Cox proportional hazards · Cox proportional hazards. Marrë më 2026-06-20 nga https://scholargate.app/sq/compare