resp

The data are from a randomized clinical trial to compare
  a test treatment to placebo for a respiratory disorder,
  and listings of the data appear in Stokes et al. (2000,
  chap. 15, pp. 495-496) and Koch et al. (1990). The
  variables are as follows:

datasets

This package has 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.

Atsushi Kawaguchi

sanon

Stratified Analysis with Nonparametric covariable adjustment

resp function

A data frame with 111 observations and 9 variables.

resp: Respiratory Disorder Data

Description

Arguments

format

Details

References