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Generating correlated discrete ordinal data using R and SAS IML.

Correlated ordinal data are common in many areas of research. The data may arise from longitudinal studies in biology, medical, or clinical fields. The prominent characteristic of these data is that the within-subject observations are correlated, whilst between-subject observations are independent....

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Main Authors: Ibrahim, Noor Akma, S. , Suliadi
Format: Article
Language:English
English
Published: Elsevier 2011
Online Access:http://psasir.upm.edu.my/id/eprint/24758/1/Generating%20correlated%20discrete%20ordinal%20data%20using%20R%20and%20SAS%20IML.pdf
http://psasir.upm.edu.my/id/eprint/24758/
http://www.elsevier.com/
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spelling my.upm.eprints.247582015-09-23T02:30:26Z http://psasir.upm.edu.my/id/eprint/24758/ Generating correlated discrete ordinal data using R and SAS IML. Ibrahim, Noor Akma S. , Suliadi Correlated ordinal data are common in many areas of research. The data may arise from longitudinal studies in biology, medical, or clinical fields. The prominent characteristic of these data is that the within-subject observations are correlated, whilst between-subject observations are independent. Many methods have been proposed to analyze correlated ordinal data. One way to evaluate the performance of a proposed model or the performance of small or moderate size data sets is through simulation studies. It is thus important to provide a tool for generating correlated ordinal data to be used in simulation studies. In this paper, we describe a macro program on how to generate correlated ordinal data based on R language and SAS IML. Elsevier 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/24758/1/Generating%20correlated%20discrete%20ordinal%20data%20using%20R%20and%20SAS%20IML.pdf Ibrahim, Noor Akma and S. , Suliadi (2011) Generating correlated discrete ordinal data using R and SAS IML. Computer Methods and Programs in Biomedicine , 104 (3). pp. 122-132. ISSN 0169-2607; ESSN:1872-7565 http://www.elsevier.com/ 10.1016/j.cmpb.2011.06.003 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Correlated ordinal data are common in many areas of research. The data may arise from longitudinal studies in biology, medical, or clinical fields. The prominent characteristic of these data is that the within-subject observations are correlated, whilst between-subject observations are independent. Many methods have been proposed to analyze correlated ordinal data. One way to evaluate the performance of a proposed model or the performance of small or moderate size data sets is through simulation studies. It is thus important to provide a tool for generating correlated ordinal data to be used in simulation studies. In this paper, we describe a macro program on how to generate correlated ordinal data based on R language and SAS IML.
format Article
author Ibrahim, Noor Akma
S. , Suliadi
spellingShingle Ibrahim, Noor Akma
S. , Suliadi
Generating correlated discrete ordinal data using R and SAS IML.
author_facet Ibrahim, Noor Akma
S. , Suliadi
author_sort Ibrahim, Noor Akma
title Generating correlated discrete ordinal data using R and SAS IML.
title_short Generating correlated discrete ordinal data using R and SAS IML.
title_full Generating correlated discrete ordinal data using R and SAS IML.
title_fullStr Generating correlated discrete ordinal data using R and SAS IML.
title_full_unstemmed Generating correlated discrete ordinal data using R and SAS IML.
title_sort generating correlated discrete ordinal data using r and sas iml.
publisher Elsevier
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/24758/1/Generating%20correlated%20discrete%20ordinal%20data%20using%20R%20and%20SAS%20IML.pdf
http://psasir.upm.edu.my/id/eprint/24758/
http://www.elsevier.com/
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score 13.211869

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