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A multiple directional decision procedure for successive comparisons of treatment effects

A multiple directional decision procedure for successive comparisons of treatment effects
A multiple directional decision procedure for successive comparisons of treatment effects
Suppose that the k treatments under comparison are ordered in a certain way. For example, there may be a sequence of increasing dose levels of a drug. It is interesting to look directly at the successive differences between the treatment effects ?i's, namely the set of differences ?2??1,?3??2,…,?k??k?1. In particular, directional inferences on whether ?i<?i+1 or ?i>?i+1 for i=1,…,k?1 are useful. Lee and Spurrier (J. Statist. Plann. Inference 43 (1995) 323) present a one- and a two-sided confidence interval procedures for making successive comparisons between treatments. In this paper, we develop a new procedure which is sharper than both the one- and two-sided procedures of Lee and Spurrier in terms of directional inferences. This new procedure is able to make more directional inferences than the two-sided procedure and maintains the inferential sensitivity of the one-sided procedure. Note however this new procedure controls only type III error, but not type I error. The critical point of the new procedure is the same as that of Lee and Spurrier's one-sided procedure. We also propose a power function for the new procedure and determine the sample size necessary for a guaranteed power level. The application of the procedure is illustrated with an example.
Suppose that the k treatments under comparison are ordered in a certain way. For example, there may be a sequence of increasing dose levels of a drug. It is interesting to look directly at the successive differences between the treatment effects ?i's, namely the set of differences ?2??1,?3??2,…,?k??k?1. In particular, directional inferences on whether ?i<?i+1 or ?i>?i+1 for i=1,…,k?1 are useful. Lee and Spurrier (J. Statist. Plann. Inference 43 (1995) 323) present a one- and a two-sided confidence interval procedures for making successive comparisons between treatments. In this paper, we develop a new procedure which is sharper than both the one- and two-sided procedures of Lee and Spurrier in terms of directional inferences. This new procedure is able to make more directional inferences than the two-sided procedure and maintains the inferential sensitivity of the one-sided procedure. Note however this new procedure controls only type III error, but not type I error. The critical point of the new procedure is the same as that of Lee and Spurrier's one-sided procedure. We also propose a power function for the new procedure and determine the sample size necessary for a guaranteed power level. The application of the procedure is illustrated with an example.
critical points, directional decision, multivariate-t distribution, pairwise comparisons, simultaneous confidence intervals
0378-3758
49-59
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
Kwong, Koon-Shing
3213ff82-a829-4954-9f66-61fa3f40a6b3
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
Kwong, Koon-Shing
3213ff82-a829-4954-9f66-61fa3f40a6b3

Liu, Wei and Kwong, Koon-Shing (2003) A multiple directional decision procedure for successive comparisons of treatment effects. Journal of Statistical Planning and Inference, 116 (1), 49-59. (doi:10.1016/S0378-3758(02)00237-9).

Record type: Article

Abstract

Suppose that the k treatments under comparison are ordered in a certain way. For example, there may be a sequence of increasing dose levels of a drug. It is interesting to look directly at the successive differences between the treatment effects ?i's, namely the set of differences ?2??1,?3??2,…,?k??k?1. In particular, directional inferences on whether ?i<?i+1 or ?i>?i+1 for i=1,…,k?1 are useful. Lee and Spurrier (J. Statist. Plann. Inference 43 (1995) 323) present a one- and a two-sided confidence interval procedures for making successive comparisons between treatments. In this paper, we develop a new procedure which is sharper than both the one- and two-sided procedures of Lee and Spurrier in terms of directional inferences. This new procedure is able to make more directional inferences than the two-sided procedure and maintains the inferential sensitivity of the one-sided procedure. Note however this new procedure controls only type III error, but not type I error. The critical point of the new procedure is the same as that of Lee and Spurrier's one-sided procedure. We also propose a power function for the new procedure and determine the sample size necessary for a guaranteed power level. The application of the procedure is illustrated with an example.
Suppose that the k treatments under comparison are ordered in a certain way. For example, there may be a sequence of increasing dose levels of a drug. It is interesting to look directly at the successive differences between the treatment effects ?i's, namely the set of differences ?2??1,?3??2,…,?k??k?1. In particular, directional inferences on whether ?i<?i+1 or ?i>?i+1 for i=1,…,k?1 are useful. Lee and Spurrier (J. Statist. Plann. Inference 43 (1995) 323) present a one- and a two-sided confidence interval procedures for making successive comparisons between treatments. In this paper, we develop a new procedure which is sharper than both the one- and two-sided procedures of Lee and Spurrier in terms of directional inferences. This new procedure is able to make more directional inferences than the two-sided procedure and maintains the inferential sensitivity of the one-sided procedure. Note however this new procedure controls only type III error, but not type I error. The critical point of the new procedure is the same as that of Lee and Spurrier's one-sided procedure. We also propose a power function for the new procedure and determine the sample size necessary for a guaranteed power level. The application of the procedure is illustrated with an example.

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More information

Published date: 2003
Keywords: critical points, directional decision, multivariate-t distribution, pairwise comparisons, simultaneous confidence intervals
Organisations: Statistics

Identifiers

Local EPrints ID: 30112
URI: http://eprints.soton.ac.uk/id/eprint/30112
ISSN: 0378-3758
PURE UUID: 336e6934-eb35-4e0d-abc9-d92b8ba2ae03
ORCID for Wei Liu: ORCID iD orcid.org/0000-0002-4719-0345

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Date deposited: 12 May 2006
Last modified: 16 Mar 2024 02:42

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Contributors

Author: Wei Liu ORCID iD
Author: Koon-Shing Kwong

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