sanon: An R Package for Stratified Analysis with Nonparametric Covariable Adjustment

2015
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.
JOURNAL OF STATISTICAL SOFTWARE
页码:1-37|卷号:67|期号:9
ISSN:1548-7660
收录类型
SSCI
发表日期
2015
学科领域
循证社会科学-方法
国家
日本
语种
英语
其他关键词
MISSING DATA; TRIALS
资助机构
Ministry of Education, Culture, Sports, Science and Technology of JapanMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT) [24240042]
资助信息
The authors appreciate the constructive comments of the associate editor and an anonymous referee with respect to the process of revising this article. This research was supported by a Grant-in-Aid for Scientific Research (24240042) from the Ministry of Education, Culture, Sports, Science and Technology of Japan. The authors appreciate the reviewing and/or testing of the package by Richard Zink, Michael Hussey, Yunro Chung, Valerie Smith, Hengrui Sun, Siying Li, Diana Lam, and Laura Elizabeth Wiener.
被引频次(WOS)
9
被引更新日期
2022-01
来源机构
Kyoto University University of North Carolina University of North Carolina Chapel Hill
关键词
missing completely at random multivariate outcomes randomization-based nonparametric covariance adjustment randomized clinical trial repeated measurement stratification strictly ordinal response variable R