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Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
sanon: An R Package for Stratified Analysis with Nonparametric Covariable Adjustment | Kawaguchi | Journal of Statistical Software
Authors: Atsushi Kawaguchi, Gary G. Koch
Title: sanon: An R Package for Stratified Analysis with Nonparametric Covariable Adjustment
Abstract: Kawaguchi, Koch, and Wang (2011) provide methodology and applications for a stratified Mann-Whitney estimator that addresses the same comparison between two randomized groups for a strictly ordinal response variable as the van Elteren test statistic for randomized clinical trials with strata. The sanon package provides the implementation of the method within the R programming environment. The usage of sanon is illustrated with five examples. The first example is a randomized clinical trial with eight strata and a univariate ordinal response variable. The second example is a randomized clinical trial with four strata, two covariables, and four ordinal response variables. The third example is a crossover design randomized clinical trial with two strata, one covariable, and two ordinal response variables. The fourth example is a randomized clinical trial with seven strata (which are managed as a categorical covariable), three ordinal covariables with missing values, and three ordinal response variables with missing values. The fifth example is a randomized clinical trial with six strata, a categorical covariable with three levels, and three ordinal response variables with missing values.

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Paper: sanon: An R Package for Stratified Analysis with Nonparametric Covariable Adjustment     Download PDF (Downloads: 973)
Supplements:
sanon_1.5.tar.gz: R source package Download (Downloads: 50; 21KB)
v67i09.R: R replication code Download (Downloads: 49; 3KB)

DOI: 10.18637/jss.v067.i09

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Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.