Registre d'evidència del mètode

Survival Analysis Power Analysis

Power analysis for survival studies determines how many participants — and how many observed events — are required so that a log-rank test or Cox regression has a sufficient probability of detecting a clinically meaningful difference in survival between groups. The foundational formulas were derived by Schoenfeld (1981) and Lachin (1981) and remain the standard approach in clinical trial planning.

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Sample Size and Power Analysis for Survival Analysis (Log-rank and Cox Regression)

Registre de mètode taxonòmic · hypothesis-test / statistics

Obre el mètode complet

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Mètodes relacionats

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See alsoCox proportional hazardsmachine-suggested · Relational suggestion, not evidence.See alsoKaplan-Meiermachine-suggested · Relational suggestion, not evidence.See alsoLog-Rank Testmachine-suggested · Relational suggestion, not evidence.Same method familyPower Analysis for Proportionsmachine-suggested · Relational suggestion, not evidence.Same method familyPower Analysis for t-testmachine-suggested · Relational suggestion, not evidence.Same method familySimulation-Based Power Analysismachine-suggested · Relational suggestion, not evidence.