Efficiency of Repeated Measures Designs Yersus Completely Randomized Designs Based on Multiple Comparisons

Edward F. Vonesh

doi:10.1080/03610928308828458

Efficiency of Repeated Measures Designs Yersus Completely Randomized Designs Based on Multiple Comparisons

Edward F. Vonesh^*

^*Corresponding author for this work

Preventive Medicine

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

9 Scopus citations

Abstract

This article investigates the efficiency of repeated measures designs versus completely randomized designs in terms of both ad hoc multiple comparisons and a priori pairwise multiple comparisons. Criteria are derived for determining when a repeated measures design is preferable to a completely rancomized design for a one-way classification problem. Numerical examples are given.

Original language	English (US)
Pages (from-to)	289-301
Number of pages	13
Journal	Communications in Statistics - Theory and Methods
Volume	12
Issue number	3
DOIs	https://doi.org/10.1080/03610928308828458
State	Published - Jan 1 1983

Keywords

correlation matrix
simultaneous confidence intervals
uniform efficency

ASJC Scopus subject areas

Statistics and Probability

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10.1080/03610928308828458

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title = "Efficiency of Repeated Measures Designs Yersus Completely Randomized Designs Based on Multiple Comparisons",

abstract = "This article investigates the efficiency of repeated measures designs versus completely randomized designs in terms of both ad hoc multiple comparisons and a priori pairwise multiple comparisons. Criteria are derived for determining when a repeated measures design is preferable to a completely rancomized design for a one-way classification problem. Numerical examples are given.",

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AB - This article investigates the efficiency of repeated measures designs versus completely randomized designs in terms of both ad hoc multiple comparisons and a priori pairwise multiple comparisons. Criteria are derived for determining when a repeated measures design is preferable to a completely rancomized design for a one-way classification problem. Numerical examples are given.

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Efficiency of Repeated Measures Designs Yersus Completely Randomized Designs Based on Multiple Comparisons

Abstract

Keywords

ASJC Scopus subject areas

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