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Risk-adjusted survival analysis

Risk-adjusted survival analysis estimates the time to an event of interest — such as death, relapse, or hospital readmission — while simultaneously accounting for baseline differences in patient characteristics (covariates). By incorporating confounders such as age, comorbidities, or disease severity, it produces hazard ratios, survival curves, and median survival estimates that are attributable to the factor of interest rather than to pre-existing risk differences between groups.

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Risk-Adjusted Survival Analysis

Taksonoomiline meetodikirje · process-pipeline / epidemiology

Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society, Series B, 34(2), 187–220. · URL
Collett, D. (2015). Modelling Survival Data in Medical Research (3rd ed.). CRC Press. · ISBN 9781439856789

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Taxonomic bucketCox proportional hazardsmachine-suggested · Relational suggestion, not evidence.See alsoInverse Probability Weightingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketKaplan-Meier Analysismachine-suggested · Relational suggestion, not evidence.Same method familyPropensity Score Matchingmachine-suggested · Relational suggestion, not evidence.Same method familySurvival Analysismachine-suggested · Relational suggestion, not evidence.