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http://hdl.handle.net/1942/384
Title: | Validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints | Authors: | BURZYKOWSKI, Tomasz MOLENBERGHS, Geert BUYSE, Marc GEYS, Helena RENARD, Didier |
Issue Date: | 2001 | Source: | Applied Statistics, 50(4). p. 405-422 | Abstract: | Before a surrogate end point can replace a final (true) end point in the evaluation of an experimental treatment, it must be formally 'validated'. The validation will typically require large numbers of observations. It is therefore useful to consider situations in which data are available from several randomized experiments. For two normally distributed end points Buyse and co-workers suggested a new definition of validity in terms of the quality of both trial level and individual level associations between the surrogate and true end points. This paper extends this approach to the important case of two failure time end points, using bivariate survival modelling. The method is illustrated by using two actual sets of data from cancer clinical trials. | Notes: | Limburgs Univ Ctr, Ctr Stat, B-3590 Diepenbeek, Belgium. Int Inst Drug Dev, Brussels, Belgium. | Keywords: | copula model; failure time end point; meta-analysis; surrogate end point; validation | Document URI: | http://hdl.handle.net/1942/384 | Link to publication/dataset: | https://www.academia.edu/15277189/Validation_of_Surrogate_Endpoints_in_Multiple_Randomized_Clinical_Trials_with_Discrete_Outcomes | ISSN: | 0035-9254 | e-ISSN: | 1467-9876 | DOI: | 10.1111/1467-9876.00244 | ISI #: | 000171983000001 | Rights: | (C) 2001 Royal Statistical Society | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2009 |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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Validation_of_Surrogate_Endpoints_in_Mul.pdf | Published version | 271.03 kB | Adobe PDF | View/Open |
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