Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/415
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | VERBEKE, Geert | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.date.accessioned | 2004-10-29T09:00:53Z | - |
dc.date.available | 2004-10-29T09:00:53Z | - |
dc.date.issued | 2003 | - |
dc.identifier.citation | Biometrics, 59(2). p. 254-262 | - |
dc.identifier.issn | 0006-341X | - |
dc.identifier.uri | http://hdl.handle.net/1942/415 | - |
dc.description.abstract | Whenever inference for variance components is required, the choice between one-sided and two-sided tests is crucial. This choice is usually driven by whether or not negative variance components are permitted. For two-sided tests, classical inferential procedures can be followed, based on likelihood ratios, score statistics, or Wald statistics. For one-sided tests, however, one-sided test statistics need to be developed, and their null distribution derived. While this has received considerable attention in the context of the likelihood ratio test, there appears to be much confusion about the related problem for the score test. The aim of this paper is to illustrate that classical (two-sided) score test statistics, frequently advocated in practice, cannot be used in this context, but that well-chosen one-sided counterparts could be used instead. The relation with likelihood ratio tests will be established, and all results are illustrated in an analysis of continuous longitudinal data using linear mixed models | - |
dc.description.sponsorship | We gratefully acknowledge support from FWO-Vlaanderen Research Project “Sensitivity Analysis for Incomplete and Coarse Data” and Belgian IUAP/PAI network “Statistical Techniques and Modelingfor Complex Substantive Questions with Complex Data.” | - |
dc.format.extent | 2494337 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | BLACKWELL PUBLISHING LTD | - |
dc.subject | Mathematical Statistics | - |
dc.subject | Clustered data | - |
dc.subject.other | boundary condition; likelihood ratio test; linear mixed model; one-sided test; score test; variance component | - |
dc.title | The use of score tests for inference on variance components | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 262 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 254 | - |
dc.identifier.volume | 59 | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.doi | 10.1111/1541-0420.00032 | - |
dc.identifier.isi | 000183735100006 | - |
dc.identifier.url | https://www.researchgate.net/publication/280226609_The_use_of_score_tests_for_inference_on_variance_components | - |
item.accessRights | Open Access | - |
item.contributor | VERBEKE, Geert | - |
item.contributor | MOLENBERGHS, Geert | - |
item.fullcitation | VERBEKE, Geert & MOLENBERGHS, Geert (2003) The use of score tests for inference on variance components. In: Biometrics, 59(2). p. 254-262. | - |
item.validation | ecoom 2004 | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 0006-341X | - |
crisitem.journal.eissn | 1541-0420 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
molg01.pdf | Peer-reviewed author version | 2.44 MB | Adobe PDF | View/Open |
Verbeke_et_al-2003-Biometrics.pdf | Published version | 229.17 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
129
checked on Sep 3, 2020
WEB OF SCIENCETM
Citations
147
checked on Oct 12, 2024
Page view(s)
64
checked on Sep 7, 2022
Download(s)
240
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.