A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome
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Bibliographic InfoArticle provided by Springer in its journal Statistical Methods & Applications.
Volume (Year): 20 (2011)
Issue (Month): 1 (March)
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Web page: http://link.springer.de/link/service/journals/10260/index.htm
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- Guo X. & Carlin B.P., 2004. "Separate and Joint Modeling of Longitudinal and Event Time Data Using Standard Computer Packages," The American Statistician, American Statistical Association, vol. 58, pages 16-24, February.
- David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika van der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639.
- Sibylle Sturtz & Uwe Ligges & Andrew Gelman, . "R2WinBUGS: A Package for Running WinBUGS from R," Journal of Statistical Software, American Statistical Association, vol. 12(i03).
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