Abstract
We review some strategies proposed in the literature to combine clinical and omics data in a prediction model. We show how these strategies can be performed by using two well-known statistical methods, lasso and boosting, through an application to a biomedical study with a time-to-event outcome.
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Acknowledgements
Thanks go to Anne-Laure Boulesteix, Carine Legrand, Herbert Braselmann, Julia Hess and Kristian Unger. RDB was supported by grant BO3139/2-2 from the German Research Foundation (DFG).
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De Bin, R. (2017). Overview of Topics Related to Model Selection for Regression. In: Ainsbury, E., Calle, M., Cardis, E., Einbeck, J., Gómez, G., Puig, P. (eds) Extended Abstracts Fall 2015. Trends in Mathematics(), vol 7. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-55639-0_13
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DOI: https://doi.org/10.1007/978-3-319-55639-0_13
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