We consider two exact unconditional procedures to test the difference between two multinomials with ordered categorical data. Exact unconditional procedures are compared to other approaches based on the Wilcoxon mid-rank test and the proportional odds model. We use a real example from an arthritis pain study to illustrate the various test procedures and provide an extensive numerical study to compare procedures with regards to type I error rates and power under the unconditional framework. The exact unconditional procedure based on estimation followed by maximization is generally more powerful than other procedures, and is therefore recommended for use in practice
The problem of comparing two proportions in a 2 £ 2 matched-pairs design with binary responses is co...
In this paper several rank order statistics for the univariate two-sample testing problem are propos...
We study a nonparametric test procedure based on order statistics for testing the null hypothesis of...
The asymptotic and exact conditional methods are widely used to compare two ordered multinomials. Th...
We propose a new nonparametric test for ordered alternative problem based on the rank difference bet...
We propose a new nonparametric test for ordered alternative problem based on the rank difference bet...
Testing of order-restricted alternative hypothesis in 2 k contingency tables can be applied to vari...
A class of bivariate rank tests are developed for the two-sample problem of testing equality of dist...
We propose a new type of stochastic ordering which imposes a monotone tendency in differences betwee...
AbstractTests for comparing a multivariate response on a control and on a treatment population are c...
[[abstract]]A test is presented for testing equality of two multivariate populations versus the alte...
We propose a new nonparametric test for ordered alternative problem based on the rank difference bet...
The problem of comparing two proportions in a 2 x 2 matched-pairs design with binary responses is co...
A variety of methods for comparing three distributions have been proposed in the literature. These m...
A class of tests is proposed for detecting the difference of two pop ulations in an ordinal categori...
The problem of comparing two proportions in a 2 £ 2 matched-pairs design with binary responses is co...
In this paper several rank order statistics for the univariate two-sample testing problem are propos...
We study a nonparametric test procedure based on order statistics for testing the null hypothesis of...
The asymptotic and exact conditional methods are widely used to compare two ordered multinomials. Th...
We propose a new nonparametric test for ordered alternative problem based on the rank difference bet...
We propose a new nonparametric test for ordered alternative problem based on the rank difference bet...
Testing of order-restricted alternative hypothesis in 2 k contingency tables can be applied to vari...
A class of bivariate rank tests are developed for the two-sample problem of testing equality of dist...
We propose a new type of stochastic ordering which imposes a monotone tendency in differences betwee...
AbstractTests for comparing a multivariate response on a control and on a treatment population are c...
[[abstract]]A test is presented for testing equality of two multivariate populations versus the alte...
We propose a new nonparametric test for ordered alternative problem based on the rank difference bet...
The problem of comparing two proportions in a 2 x 2 matched-pairs design with binary responses is co...
A variety of methods for comparing three distributions have been proposed in the literature. These m...
A class of tests is proposed for detecting the difference of two pop ulations in an ordinal categori...
The problem of comparing two proportions in a 2 £ 2 matched-pairs design with binary responses is co...
In this paper several rank order statistics for the univariate two-sample testing problem are propos...
We study a nonparametric test procedure based on order statistics for testing the null hypothesis of...