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http://hdl.handle.net/1942/404
Title: | Validation of surrogate endpoints in multiple randomized clinical trials with discrete outcomes | Authors: | RENARD, Didier GEYS, Helena MOLENBERGHS, Geert BURZYKOWSKI, Tomasz BUYSE, Marc |
Issue Date: | 2002 | Publisher: | AKADEMIE VERLAG | Source: | Biometrical Journal, 44(8). p. 921-935 | Abstract: | This article extends the work of Buyse et al. (2000) on the validation of surrogate endpoints in a meta-analytic setting to the case of two discrete outcomes, the focus being on binary endpoints. The methodology entails fitting of a joint model for the surrogate and the true endpoints that includes several random effects. We propose to fit this model using a pairwise likelihood (PL) approach which seems better suited to the problem at hand than maximum likelihood or penalized quasi-likelihood. The performance of the PL estimator is evaluated on the grounds of limited simulations and the methodology is illustrated on data from a meta-analysis of five clinical trials comparing antipsychotic agents for the treatment of chronic schizophrenia | Keywords: | binary data; meta-analysis; pairwise likelihood; Surrogate Endpoint; validation | Document URI: | http://hdl.handle.net/1942/404 | ISSN: | 0323-3847 | e-ISSN: | 1521-4036 | DOI: | 10.1002/bimj.200290004 | ISI #: | 000180140400001 | Rights: | (C) WILEY-VCH Verlag Berlin GmbH | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2004 |
Appears in Collections: | Research publications |
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Renard_et_al-2002-Biometrical_Journal.pdf Restricted Access | Published version | 128.71 kB | Adobe PDF | View/Open Request a copy |
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