Literature DB >> 22700600

Unconditional tests for comparing two ordered multinomials.

Guogen Shan1, Changxing Ma2.   

Abstract

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 Author(s) 2012.

Entities:  

Keywords:  Exact tests; E + M p-value; nuisance parameters; two ordered multinomials; unconditional test

Mesh:

Year:  2012        PMID: 22700600     DOI: 10.1177/0962280212450957

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  14 in total

1.  Sample size determination for a matched-pairs study with incomplete data using exact approach.

Authors:  Guogen Shan; Charles Bernick; Sarah Banks
Journal:  Br J Math Stat Psychol       Date:  2017-06-30       Impact factor: 3.380

2.  Exact p-values for Simon's two-stage designs in clinical trials.

Authors:  Guogen Shan; Hua Zhang; Tao Jiang; Hanna Peterson; Daniel Young; Changxing Ma
Journal:  Stat Biosci       Date:  2016-06-16

3.  Optimal inference for Simon's two-stage design with over or under enrollment at the second stage.

Authors:  Guogen Shan; John J Chen
Journal:  Commun Stat Simul Comput       Date:  2017-06-20       Impact factor: 1.118

4.  Conservative confidence intervals for the intraclass correlation coefficient for clustered binary data.

Authors:  Guogen Shan
Journal:  J Appl Stat       Date:  2021-04-02       Impact factor: 1.416

5.  Some tests for detecting trends based on the modified Baumgartner-Weiβ-Schindler statistics.

Authors:  Guogen Shan; Changxing Ma; Alan D Hutson; Gregory E Wilding
Journal:  Comput Stat Data Anal       Date:  2013-01       Impact factor: 1.681

6.  Boundary problem in Simon's two-stage clinical trial designs.

Authors:  Guogen Shan; John J Chen; Changxing Ma
Journal:  J Biopharm Stat       Date:  2016-02-16       Impact factor: 1.051

7.  Optimal adaptive two-stage designs for early phase II clinical trials.

Authors:  Guogen Shan; Gregory E Wilding; Alan D Hutson; Shawn Gerstenberger
Journal:  Stat Med       Date:  2015-11-03       Impact factor: 2.373

8.  Exact confidence limits for the response rate in two-stage designs with over- or under-enrollment in the second stage.

Authors:  Guogen Shan
Journal:  Stat Methods Med Res       Date:  2016-07-07       Impact factor: 3.021

9.  Minimax and admissible adaptive two-stage designs in phase II clinical trials.

Authors:  Guogen Shan; Hua Zhang; Tao Jiang
Journal:  BMC Med Res Methodol       Date:  2016-08-02       Impact factor: 4.615

10.  Fisher's exact approach for post hoc analysis of a chi-squared test.

Authors:  Guogen Shan; Shawn Gerstenberger
Journal:  PLoS One       Date:  2017-12-20       Impact factor: 3.240

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