Testing equality of correlated proportions with incomplete data on both responses

Dinesh S. Bhoj; Tom A.B. Snijders

doi:10.1007/BF02295597

Testing equality of correlated proportions with incomplete data on both responses

Dinesh S. Bhoj, Tom A.B. Snijders

Rutgers Camden, Mathematics

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

5 Scopus citations

Abstract

Two test statistics are proposed for testing the equality of two correlated proportions when some observations are missing on both responses. The performance of these tests in terms of size and power is compared with other tests by means of Monte Carlo simulations. The proposed tests are easily computed and compare favorably with other tests.

Original language	English (US)
Pages (from-to)	579-588
Number of pages	10
Journal	Psychometrika
Volume	51
Issue number	4
DOIs	https://doi.org/10.1007/BF02295597
State	Published - Dec 1986

All Science Journal Classification (ASJC) codes

Psychology(all)
Applied Mathematics

Keywords

Monte Carlo study
antithetic variates
asymptotically most powerful test
combination of tests
equality of correlated proportions
incomplete data
power comparison

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10.1007/BF02295597

Cite this

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title = "Testing equality of correlated proportions with incomplete data on both responses",

abstract = "Two test statistics are proposed for testing the equality of two correlated proportions when some observations are missing on both responses. The performance of these tests in terms of size and power is compared with other tests by means of Monte Carlo simulations. The proposed tests are easily computed and compare favorably with other tests.",

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author = "Bhoj, {Dinesh S.} and Snijders, {Tom A.B.}",

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KW - asymptotically most powerful test

KW - combination of tests

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KW - incomplete data

KW - power comparison

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Testing equality of correlated proportions with incomplete data on both responses

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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