survcomp-package(survcomp)
survcomp-package()所属R语言包:survcomp
Performance Assessment and Comparison for Survival Analysis
生存分析的绩效评价和比较
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Functions to perform the performance assessment and comparison of risk prediction (survival) models.
绩效评估和风险预测模型(生存)的比较函数来执行。
Details
详情----------Details----------
作者(S)----------Author(s)----------
<B>Benjamin Haibe-Kains</B>
- Computational Biology and Functional Genomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
<a href="http://compbio.dfci.harvard.edu/">http://compbio.dfci.harvard.edu/</a>
- Center for Cancer Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
<a href="http://cccb.dfci.harvard.edu/index.html">http://cccb.dfci.harvard.edu/index.html</a>
Former labs:
- Machine Learning Group (MLG), Universite Libre de Bruxelles, Bruxelles, Belgium
<a href="http://www.ulb.ac.be/di/mlg/">http://www.ulb.ac.be/di/mlg/</a>
- Breast Cancer Translational Research Laboratory (BCTRL), Institut Jules Bordet, Bruxelles, Belgium
<a href="http://www.bordet.be/en/services/medical/array/practical.htm">http://www.bordet.be/en/services/medical/array/practical.htm</a>
<B>Markus Schroeder</B>
- Computational Biology and Functional Genomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
<a href="http://compbio.dfci.harvard.edu/">http://compbio.dfci.harvard.edu/</a>
- Computational Genomics, Center for Biotechnology (CeBiTec), Bielefeld University, Germany
<a href="http://www.cebitec.uni-bielefeld.de/cebitec/computational-genomics/home.html">http://www.cebitec.uni-bielefeld.de/cebitec/computational-genomics/home.html</a>
<B>Maintainer</B>:
Benjamin Haibe-Kains
<a href="mailto:bhaibeka@jimmy.harvard.edu">bhaibeka@jimmy.harvard.edu</a>
<a href="mailto:bhaibeka@ulb.ac.be">bhaibeka@ulb.ac.be</a>
Markus Schroeder
<a href="mailto:mschroed@jimmy.harvard.edu">mschroed@jimmy.harvard.edu</a>
参见----------See Also----------
survival, Hmisc, Design, prodlim, survivalROC, ipred, bootstrap, CPE, clinfun
survival,Hmisc,Design,prodlim,survivalROC,ipred,bootstrap,CPE,clinfun
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
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