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	Provedor de dados AgEcon (1) Ciência Rural (1) Autor Babiker, Abdel (1) Bernardes,Diego Paiva (1) Lacerda,Fabricia Gonçalves (1) Peternelli,Luiz Alexandre (1) Royston, Patrick (1) Silva,Gilson Fernandes da (1) Tomaz,Flávia Sílvia Corrêa (1) Mais... Palavra-chave Logrank test (2) Cluster analysis (1) Curves comparison (1) Experimental design (1) Randomized controlled trials (1) Research Methods/ Statistical Methods (1) Survival analysis (1) Mais... Tipo do documento Info:eu-repo/semantics/article (1) Journal Article (1) Ano 2013 (1) 2002 (1) País Brazil (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última 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 An alternative method for assessing the equivalence among treatments in survival analysis Ciência Rural Peternelli,Luiz Alexandre; Tomaz,Flávia Sílvia Corrêa; Bernardes,Diego Paiva; Silva,Gilson Fernandes da; Lacerda,Fabricia Gonçalves. This work aims to evaluate the use of parametric models instead of a nonparametric procedure to adjust survival curves related to different treatments, and to verify the equivalence among treatments by the multivariate method of cluster analysis. The dataset used to validate the method was obtained from a laboratory experiment with cutting ants. Eight colonies of cutting ants were used, each one receiving different treatments. The exponential, Weibull, log-normal, and logistic models were adjusted for each treatment, along with the usual Kaplan-Meier adjustment. The logistic model used was the best option for evaluating the survival of the ants. Therefore, this model was adjusted for each treatment. The estimates of the parameters of each adjusted model... Tipo: Info:eu-repo/semantics/article Palavras-chave: Logrank test; Cluster analysis; Curves comparison. Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782013000900004 Registros recuperados: 2 Primeira ... 1 ... Última

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