g -Treatment ridit analyses: Resampling permutation methods

Paul Mielke; Michael Long; Kenneth Berry; J. E. Johnston

doi:10.1016/j.stamet.2008.09.002

g -Treatment ridit analyses: Resampling permutation methods

Paul Mielke, Michael Long, Kenneth Berry, J. E. Johnston

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

4 Citations (Scopus)

Abstract

A g -treatment extension of the classical two-treatment ridit analysis is introduced. Concerns regarding distributional assumptions for ridit analyses are avoided by employing data dependent resampling methods. Upper-tail P-values based on resampling permutations are obtained for the g-treatment ridit analyses.

Original language	English
Pages (from-to)	223-229
Journal	Statistical Methodology
Volume	6
Issue number	3
DOIs	https://doi.org/10.1016/j.stamet.2008.09.002
Publication status	Published - May 2009

Keywords

g-Treatment extension
Permutation
Resampling
Ridit

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10.1016/j.stamet.2008.09.002

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title = "g -Treatment ridit analyses: Resampling permutation methods",

abstract = "A g -treatment extension of the classical two-treatment ridit analysis is introduced. Concerns regarding distributional assumptions for ridit analyses are avoided by employing data dependent resampling methods. Upper-tail P-values based on resampling permutations are obtained for the g-treatment ridit analyses.",

keywords = "g-Treatment extension, Permutation, Resampling, Ridit",

author = "Paul Mielke and Michael Long and Kenneth Berry and Johnston, \{J. E.\}",

year = "2009",

month = may,

doi = "10.1016/j.stamet.2008.09.002",

language = "English",

volume = "6",

pages = "223--229",

journal = "Statistical Methodology",

issn = "1572-3127",

publisher = "Elsevier",

number = "3",

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TY - JOUR

T1 - g -Treatment ridit analyses: Resampling permutation methods

AU - Mielke, Paul

AU - Long, Michael

AU - Berry, Kenneth

AU - Johnston, J. E.

PY - 2009/5

Y1 - 2009/5

N2 - A g -treatment extension of the classical two-treatment ridit analysis is introduced. Concerns regarding distributional assumptions for ridit analyses are avoided by employing data dependent resampling methods. Upper-tail P-values based on resampling permutations are obtained for the g-treatment ridit analyses.

AB - A g -treatment extension of the classical two-treatment ridit analysis is introduced. Concerns regarding distributional assumptions for ridit analyses are avoided by employing data dependent resampling methods. Upper-tail P-values based on resampling permutations are obtained for the g-treatment ridit analyses.

KW - g-Treatment extension

KW - Permutation

KW - Resampling

KW - Ridit

UR - https://www.scopus.com/pages/publications/61849094329

U2 - 10.1016/j.stamet.2008.09.002

DO - 10.1016/j.stamet.2008.09.002

M3 - Article

SN - 1572-3127

VL - 6

SP - 223

EP - 229

JO - Statistical Methodology

JF - Statistical Methodology

IS - 3

ER -

g -Treatment ridit analyses: Resampling permutation methods

Abstract

Keywords

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