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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×Meta-analiza e të Dhënave Individuale të Pacientëve×
FushaEpidemiologjiSinteza e dëshmive
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinës1998–20071990s
KrijuesiParmar, Torri & Stewart; Tierney et al.Cochrane Collaboration, Pioneered by Stewart & Clarke
LlojiMeta-analytic survival modelMethod
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 ↗Stewart, L. A., Clarke, M. J., & Cochrane IPD Meta-analysis Methods Group. (2015). Practical methodology of meta-analyses (including IPD) of randomised trials reporting time to event data. Cochrane Database of Systematic Reviews, 2015(10), MR000027. link ↗
Emërtime të tjerapooled Cox regression meta-analysis, meta-Cox model, survival meta-analysis, Cox PH poolingIPD Meta-Analysis, Participant-Level Data Synthesis, One-Stage Meta-Analysis
Të lidhura31
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.Individual patient data meta-analysis (IPD-MA) is a systematic synthesis method where researchers obtain and analyze raw data at the patient level from multiple randomized controlled trials, rather than relying on published summary statistics (aggregate data). Pioneered by the Cochrane Collaboration and formalized by Stewart, Clarke, and Riley, IPD-MA is considered the gold standard for evidence synthesis because it enables consistent outcome definition across trials, robust subgroup analysis, and detection of treatment-covariate interactions. Though time-intensive and resource-demanding, IPD-MA provides the most reliable estimates of intervention effects and is preferred for critical clinical decisions, particularly for identifying which patients benefit most from treatment.
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ScholarGateKrahasoni metodat: Meta-analytic Cox proportional hazards · Individual Patient Data Meta-Analysis. Marrë më 2026-06-20 nga https://scholargate.app/sq/compare