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Title: | Application of Semiparametric Mixed Models and Simultaneous Confidence Bands in a Cardiovascular Safety Experiment with Longitudinal Data | Authors: | MARINGWA, John GEYS, Helena SHKEDY, Ziv FAES, Christel MOLENBERGHS, Geert AERTS, Marc Van Ammel, Karel Teisman, Ard BIJNENS, Luc |
Issue Date: | 2008 | Publisher: | TAYLOR & FRANCIS INC | Source: | Journal of biopharmaceutical statistics (Print), 18(6). p. 1043-1062 | Abstract: | Several pharmacological studies involve experiments aimed at testing for a difference between experimental groups wherein the data are longitudinal in nature, frequently with long sequences per subject. Oftentimes, treatment effect, if present, is not constant over time. In such situations, imposing a parametric mean structure can be too complicated and/or restrictive. A more flexible approach is to model the mean using a semiparametric smooth function, estimated using, for example, penalized smoothing splines. We formulate a series of models exhibiting how the group-specific mean profiles could possibly differ. Once an appropriate model is chosen, interest lies in identifying specific time points where the groups differ. For this purpose, we propose the use of simultaneous confidence bands around the fitted models wherein the bands take into account within and between-subject variability, as well as variability arising from smoothing. | Notes: | [Maringwa, John T.; Geys, Helena; Shkedy, Ziv; Faes, Christel; Molenberghs, Geert; Aerts, Marc] Univ Hasselt, Ctr Stat, B-3590 Diepenbeek, Belgium. [Geys, Helena; Ammel, Karel Van; Teisman, Ard; Bijnens, Luc] Johnson & Johnson Pharmaceut Res & Dev, Beerse, Belgium. | Keywords: | Penalized splines; Semiparametric mixed models; Simultaneous confidence bands; Smoothing;penalized splines; semiparametric mixed models; simultaneous confidence bands; smoothing | Document URI: | http://hdl.handle.net/1942/9000 | ISSN: | 1054-3406 | e-ISSN: | 1520-5711 | DOI: | 10.1080/10543400802368881 | ISI #: | 000260764800001 | Rights: | Copyright © Taylor & Francis Group, LLC | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2009 |
Appears in Collections: | Research publications |
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