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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
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Graphical representation of interactions AgEcon
Barthel, Friederike Maria-Sophie; Royston, Patrick.
We provide a program to illustrate interactions between treatment and covariates or between two covariates by using forest plots under either the Cox proportional hazards or the logistic regression model. The program is flexible in both the possibility of illustrating more than one interaction at a time and variable specifications of scale.
Tipo: Journal Article Palavras-chave: Fintplot; Interaction; Forest plot; Randomized controlled trial; Survival analysis; Logistic regression; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/117585
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