Krahasoni metodat

	Analiza e fuqisë për studimet e mbijetesës	Fuqia Analizës për Testet e Proporcioneve
Fusha	Statistikë	Statistikë
Familja	Hypothesis test	Hypothesis test
Viti i origjinës	1981	1988
Krijuesi	—	Jacob Cohen
Lloji	Sample size determination for survival outcomes	Sample size determination
Burimi themelues	Schoenfeld, D. A. (1981). The asymptotic properties of nonparametric tests for comparing survival distributions. Biometrika, 68(1), 316–319.	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates.
Emërtime të tjera	log-rank power analysis, cox regression power analysis, survival power analysis, Sağkalım Analizi Güç Analizi	proportion power analysis, two-proportion z-test power, z-test for proportions power, Oran Testi Güç Analizi
Të lidhura	6	3
Përmbledhja	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.	Power analysis for proportion tests is a prospective sample-size planning method used to determine how many participants are needed to detect a meaningful difference between two (or one) proportions with a specified probability. Formalised by Jacob Cohen in his 1988 landmark text, it applies the arcsine transformation to convert proportions into the effect-size index h, enabling direct calculation of the required sample size.