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	Provedor de dados AgEcon (3) Autor Babiker, Abdel (3) Royston, Patrick (2) Barthel, Friederike Maria-Sophie (1) Walker, Sarah (1) White, Ian R. (1) Palavra-chave Research Methods/ Statistical Methods (3) Survival analysis (2) Clinical trials (1) Experimental design (1) Logrank test (1) Multiarm designs (1) Power (1) Randomization-respecting (1) Randomized controlled trial (1) Randomized controlled trials (1) Sample size (1) Treatment changes (1) Mais... Tipo do documento Journal Article (3) Ano 2005 (1) 2002 (2) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última strbee: Randomization-based efficacy estimator AgEcon White, Ian R.; Walker, Sarah; Babiker, Abdel. strbee analyzes a two-group clinical trial with a survival outcome, in which some subjects may “crossover” to receive the treatment of the other arm. Adjustment for treatment crossover is done by a randomization-respecting method that preserves the intention-to-treat p-value. Tipo: Journal Article Palavras-chave: Clinical trials; Treatment changes; Randomization-respecting; Research Methods/ Statistical Methods. Ano: 2002 URL: http://purl.umn.edu/115957 A menu-driven facility for complex sample size calculation in randomized controlled trials with a survival or a binary outcome: Update AgEcon Barthel, Friederike Maria-Sophie; Royston, Patrick; Babiker, Abdel. Royston and Babiker (2002) presented a menu-driven Stata program for the calculation of sample size or power for complex clinical trial designs under a survival time or binary outcome. In the present article, the package is updated to Stata 8 under the new name ART. Furthermore, the program has been extended to incorporate noninferiority designs and provides more detailed output. This package is the only realistic sample size tool for survival studies available in Stata. Tipo: Journal Article Palavras-chave: Sample size; Power; Randomized controlled trial; Multiarm designs; Survival analysis; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117503 A menu-driven facility for complex sample size calculation in randomized controlled trials with a survival or a binary outcome AgEcon Royston, Patrick; Babiker, Abdel. We present a menu-driven Stata program for the calculation of sample size or power for complex clinical trials with a survival time or a binary outcome. The features supported include up to six treatment arms, an arbitrary time-to-event distribution, fixed or time-varying hazard ratios, unequal patient allocation, loss to follow-up, staggered patient entry, and crossover of patients from their allocated treatment to an alternative treatment. The computations of sample size and power are based on the logrank test and are done according to the asymptotic distribution of the logrank test statistic, adjusted appropriately for the design features. Tipo: Journal Article Palavras-chave: Randomized controlled trials; Survival analysis; Logrank test; Experimental design; Research Methods/ Statistical Methods. Ano: 2002 URL: http://purl.umn.edu/115958 Registros recuperados: 3 Primeira ... 1 ... Última

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