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Pairwise comparison in repeated measures

Pairwise comparison in repeated measures
Pairwise comparison in repeated measures
Sometimes a random sample of subjects or patients may be exposed to a battery of diagnostic tests or medication over time and interest is on determining whether there is progressive remission of condition, disease or symptom. Also perhaps early in a program or experiment, subjects or candidates may be required to significantly improve in their performance rates at the current trial relative to an immediately preceding trial, otherwise they may have to withdraw from or drop out. The research interest would then be to determine some critical minimum marginal success rate to guide the management in decision making as well as in policy implementation. Success rates lower than the minimum expected value would indicate a need for some remedial actions. A method of estimating these rates is proposed assuming that the requirement is at the second trial. Pairwise comparisons of proportions of success or failure by subjects or candidates in a sequence of experiments or trials over time or space are conducted to ascertain which subject or combinations is responsible for the rejection of the null hypothesis. The proposed methods is illustrated and shown to be at least as efficient and powerful as competitors.
151 - 168
Oyeka, I. C. A.
20f21987-4536-4912-976e-be70da0ef01b
Nnanatu, Chibuzor Christopher
24be7c1b-a677-4086-91b4-a9d9b1efa5a3
Oyeka, I. C. A.
20f21987-4536-4912-976e-be70da0ef01b
Nnanatu, Chibuzor Christopher
24be7c1b-a677-4086-91b4-a9d9b1efa5a3

Oyeka, I. C. A. and Nnanatu, Chibuzor Christopher (2014) Pairwise comparison in repeated measures. Journal of Modern Applied Statistical Methods, 13 (2), 151 - 168.

Record type: Article

Abstract

Sometimes a random sample of subjects or patients may be exposed to a battery of diagnostic tests or medication over time and interest is on determining whether there is progressive remission of condition, disease or symptom. Also perhaps early in a program or experiment, subjects or candidates may be required to significantly improve in their performance rates at the current trial relative to an immediately preceding trial, otherwise they may have to withdraw from or drop out. The research interest would then be to determine some critical minimum marginal success rate to guide the management in decision making as well as in policy implementation. Success rates lower than the minimum expected value would indicate a need for some remedial actions. A method of estimating these rates is proposed assuming that the requirement is at the second trial. Pairwise comparisons of proportions of success or failure by subjects or candidates in a sequence of experiments or trials over time or space are conducted to ascertain which subject or combinations is responsible for the rejection of the null hypothesis. The proposed methods is illustrated and shown to be at least as efficient and powerful as competitors.

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More information

Published date: 1 November 2014
Additional Information: Copyright © 2014 JMASM, Inc

Identifiers

Local EPrints ID: 458126
URI: http://eprints.soton.ac.uk/id/eprint/458126
PURE UUID: 024cea20-9e83-4590-9b1a-2a83ff31124e
ORCID for Chibuzor Christopher Nnanatu: ORCID iD orcid.org/0000-0002-5841-3700

Catalogue record

Date deposited: 28 Jun 2022 17:24
Last modified: 13 Jun 2024 02:02

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Contributors

Author: I. C. A. Oyeka
Author: Chibuzor Christopher Nnanatu ORCID iD

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