Tests of homogeneity for partially matched-pairs data

Hani M. Samawi; Robert Vogel

doi:10.1016/j.stamet.2011.01.002

Tests of homogeneity for partially matched-pairs data

Hani M. Samawi, Robert Vogel

Biostatistics, Epidemiology & Environmental Health Sciences

Georgia Southern University

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

Tests of homogeneity for partially matched-pair data are investigated. Different methods of combining tests of homogeneity based on Pearson chi-square test and McNemar chi-squared test are investigated. Numerical and simulation studies are presented to compare the power of these tests. Data from the National Survey of Children's Health of 2003 (NSCH) is used to illustrate the methods.

Original language	English
Pages (from-to)	304-313
Number of pages	10
Journal	Statistical Methodology
Volume	8
Issue number	3
DOIs	https://doi.org/10.1016/j.stamet.2011.01.002
State	Published - May 2011

Scopus Subject Areas

Statistics and Probability

Keywords

Case-control and matching studies
Inverse chi-square method
McNemar Test
Partially matched-pair
Pearson chi-square test
Tippett method
Weighted chi-square test

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10.1016/j.stamet.2011.01.002

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title = "Tests of homogeneity for partially matched-pairs data",

abstract = "Tests of homogeneity for partially matched-pair data are investigated. Different methods of combining tests of homogeneity based on Pearson chi-square test and McNemar chi-squared test are investigated. Numerical and simulation studies are presented to compare the power of these tests. Data from the National Survey of Children's Health of 2003 (NSCH) is used to illustrate the methods.",

keywords = "Case-control and matching studies, Inverse chi-square method, McNemar Test, Partially matched-pair, Pearson chi-square test, Tippett method, Weighted chi-square test",

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AU - Vogel, Robert

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AB - Tests of homogeneity for partially matched-pair data are investigated. Different methods of combining tests of homogeneity based on Pearson chi-square test and McNemar chi-squared test are investigated. Numerical and simulation studies are presented to compare the power of these tests. Data from the National Survey of Children's Health of 2003 (NSCH) is used to illustrate the methods.

KW - Case-control and matching studies

KW - Inverse chi-square method

KW - McNemar Test

KW - Partially matched-pair

KW - Pearson chi-square test

KW - Tippett method

KW - Weighted chi-square test

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DO - 10.1016/j.stamet.2011.01.002

M3 - Article

SN - 1572-3127

VL - 8

SP - 304

EP - 313

JO - Statistical Methodology

JF - Statistical Methodology

IS - 3

ER -

Tests of homogeneity for partially matched-pairs data

Abstract

Scopus Subject Areas

Keywords

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