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- Title:
Random survival forest in practice: A method for modelling complex metabolomics data in time to event analysis.
- Author(s):
- Dietrich, S. ; Floegel, A. ; Troll, M. ; Kuhn, T. ; Rathmann, W. ; Peters, A. ; Sookthai, D. ; von Bergen, M. ; Kaaks, R. ; Adamski, J. ; Prehn, C. ; Boeing, H. ; Schulze, M.B. ; Illig, T. ; Pischon, T. ; Knüppel, S. ; Wang-Sattler, R. ; Drogan, D.
- Keywords:
- Genetics and Epidemiology
- Journal title:
- Int. J. Epidemiol.
- Year:
- 2016
- Journal volume:
- 45
- Pages contribution:
- 1406-1420
- Fulltext / DOI:
- doi:10.1093/ije/dyw145
- E-ISSN:
- 0300-5771
- Impact Factor:
- 7,522
- Notes:
- Research Programmes: Genes and Environment in Common Diseases ; German Center for Diabetes Research
- TUM Institution:
- Institute of Epidemiology II (EPI2) ; Institute of Experimental Genetics (IEG)
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