Stratified Analysis with Nonparametric Covariable Adjustment
Identify Categorical Covariables
Extract Model Coefficients
Confidence Intervals for Model Parameters
Contrast for Model Parameters
Identify Covariables
Identify Group Variables
The Stratified Analysis with Nonparametric covariable adjustment Packa...
Non-Parametric Covariable Adjustment for Stratified Rank Measures of A...
Identify Stratification Variables
Summarizing Weighted Least Squares Fits
Calculate Variance-Covariance Matrix for a Fitted Model Object
There are several functions to implement the method for analysis in a randomized clinical trial with strata with following key features. A stratified Mann-Whitney estimator addresses the comparison between two randomized groups for a strictly ordinal response variable. The multivariate vector of such stratified Mann-Whitney estimators for multivariate response variables can be considered for one or more response variables such as in repeated measurements and these can have missing completely at random (MCAR) data. Non-parametric covariance adjustment is also considered with the minimal assumption of randomization. The p-value for hypothesis test and confidence interval are provided.