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http://hdl.handle.net/1942/9179
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DC Field | Value | Language |
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dc.contributor.author | TIBALDI, Fabian | - |
dc.contributor.author | RENARD, Didier | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.date.accessioned | 2009-01-19T09:54:52Z | - |
dc.date.available | 2009-01-19T09:54:52Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | PHARMACEUTICAL STATISTICS, 7(4). p. 285-293 | - |
dc.identifier.issn | 1539-1604 | - |
dc.identifier.uri | http://hdl.handle.net/1942/9179 | - |
dc.description.abstract | Meta-analytical approaches have been extensively used to analyze medical data. In most cases, the data come from different studies or independent trials with similar characteristics. However, these methods can be applied in a broader sense. In this paper, we show how existing meta-analytic techniques can also be used as well when dealing with parameters estimated from individual hierarchical data. Specifically, we propose to apply statistical methods that account for the variances (and possibly covariances) of such measures. The estimated parameters together with their estimated variances can be incorporated into a general linear mixed model framework. We illustrate the methodology by using data from a first-in-man study and a simulated data set. The analysis was implemented with the SAS procedure MIXED and example code is offered. Copyright (C) 2007 John Wiley & Sons, Ltd. | - |
dc.description.sponsorship | We greatefully acknowledge support from Inter university Attraction Poles Program P5/24-Belgian State-Federal Office for Scientific, Technical and Cultural Affairs. | - |
dc.format.extent | 127660 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | JOHN WILEY & SONS INC | - |
dc.rights | Copyright (C) 2007 John Wiley & Sons, Ltd. | - |
dc.subject.other | meta-analytical methods; linear mixed models; two-stage models; fractional polynomial; SAS proc MIXED | - |
dc.subject.other | meta-analytical methods; linear mixed models; two-stage models; fractional polynomial;SAS proc MIXED | - |
dc.title | Accounting for variability in individual hierarchical clinical trial data | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 293 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 285 | - |
dc.identifier.volume | 7 | - |
local.format.pages | 9 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | [Tibaldi, Fabidn] GlaxoSmithKline Biol, B-1330 Rixensart, Belgium. [Renard, Didier] Novartis, Basel, Switzerland. [Molenberghs, Geert] Hasselt Univ, Ctr Stat, Diepenbeek, Belgium. | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.doi | 10.1002/pst.313 | - |
dc.identifier.isi | 000261910900007 | - |
item.contributor | TIBALDI, Fabian | - |
item.contributor | RENARD, Didier | - |
item.contributor | MOLENBERGHS, Geert | - |
item.fullcitation | TIBALDI, Fabian; RENARD, Didier & MOLENBERGHS, Geert (2008) Accounting for variability in individual hierarchical clinical trial data. In: PHARMACEUTICAL STATISTICS, 7(4). p. 285-293. | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2010 | - |
crisitem.journal.issn | 1539-1604 | - |
crisitem.journal.eissn | 1539-1612 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
GeertMolenberghs21.pdf | Peer-reviewed author version | 124.67 kB | Adobe PDF | View/Open |
Tibaldi_et_al-2008-Pharmaceutical_Statistics.pdf Restricted Access | Published version | 149 kB | Adobe PDF | View/Open Request a copy |
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