Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/421
Title: | Simplified hierarchical linear models for the evaluation of surrogate endpoints | Authors: | TIBALDI, Fabian CORTINAS ABRAHANTES, Jose MOLENBERGHS, Geert RENARD, Didier BURZYKOWSKI, Tomasz BUYSE, Marc Parmar, Mahesh Stijnen, Theo Wolfinger, Russ |
Issue Date: | 2003 | Publisher: | TAYLOR & FRANCIS LTD | Source: | Journal of Statistical Computation and Simulation, 73(9). p. 643-658 | Abstract: | The linear mixed-effects model (Verbeke and Molenberghs, 2000) has become a standard tool for the analysis of continuous hierarchical data such as, for example, repeated measures or data from meta-analyses. However, in certain situations the model does pose insurmountable computational problems. Precisely this has been the experience of Buyse et al. (2000a) who proposed an estimation- and prediction-based approach for evaluating surrogate endpoints. Their approach requires fitting linear mixed models to data from several clinical trials. In doing so, these authors built on the earlier, single-trial based, work by Prentice (1989), Freedman et al. (1992), and Buyse and Molenberghs (1998). While Buyse et al. (2000a) claim their approach has a number of advantages over the classical single-trial methods, a solution needs to be found for the computational complexity of the corresponding linear mixed model. In this paper, we propose and study a number of possible simplifications. This is done by means of a simulation study and by applying the various strategies to data from three clinical studies: Pharmacological Therapy for Macular Degeneration Study Group (1977), Ovarian Cancer Meta-analysis Project (1991) and Corfu-A Study Group (1995). | Keywords: | linear mixed model; macular degeneration; meta-analytic approach; oncology; random effects; surrogate endpoint | Document URI: | http://hdl.handle.net/1942/421 | ISSN: | 0094-9655 | e-ISSN: | 1563-5163 | DOI: | 10.1080/0094965031000062177 | ISI #: | 000185003800002 | Rights: | (C) 2003 Taylor & Francis Ltd | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2004 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
molg08.pdf | Peer-reviewed author version | 1.85 MB | Adobe PDF | View/Open |
tibaldi2003.pdf Restricted Access | Published version | 129.02 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.