survcomp: an R/Bioconductor package for performance assessment and comparison of survival models

作者: Markus S. Schröder , Aedín C. Culhane , John Quackenbush , Benjamin Haibe-Kains

DOI: 10.1093/BIOINFORMATICS/BTR511

关键词: BioconductorComputer scienceSurvival analysisData miningMeasure (data warehouse)

摘要: Summary: The survcomp package provides functions to assess and statistically compare the performance of survival/risk prediction models. It implements state-of-the-art statistics (i) measure risk models; (ii) combine these statistical estimates from multiple datasets using a meta-analytical framework; (iii) competitive Availability: R/Bioconductor is provided open source under Artistic-2.0 License with user manual containing installation, operating instructions use case scenarios on real datasets. requires R version 2.13.0 or higher. http://bioconductor.org/packages/release/bioc/html/survcomp.html

参考文章(21)
David R. Cox, Regression Models and Life-Tables Springer Series in Statistics. ,vol. 34, pp. 527- 541 ,(1992) , 10.1007/978-1-4612-4380-9_37
E. L. Kaplan, Paul Meier, Nonparametric Estimation from Incomplete Observations Springer Series in Statistics. ,vol. 53, pp. 319- 337 ,(1992) , 10.1007/978-1-4612-4380-9_25
Erika Graf, Claudia Schmoor, Willi Sauerbrei, Martin Schumacher, Assessment and comparison of prognostic classification schemes for survival data Statistics in Medicine. ,vol. 18, pp. 2529- 2545 ,(1999) , 10.1002/(SICI)1097-0258(19990915/30)18:17/18<2529::AID-SIM274>3.0.CO;2-5
Kimiko A Broeze, Brent C Opmeer, Lucas M Bachmann, Frank J Broekmans, Patrick MM Bossuyt, Sjors FPJ Coppus, Neil P Johnson, Khalid S Khan, Gerben Ter Riet, Fulco Van Der Veen, Madelon Van Wely, Ben WJ Mol, None, Individual patient data meta-analysis of diagnostic and prognostic studies in obstetrics, gynaecology and reproductive medicine BMC Medical Research Methodology. ,vol. 9, pp. 22- 22 ,(2009) , 10.1186/1471-2288-9-22
Steff Lewis, Mike Clarke, Forest plots: trying to see the wood and the trees BMJ. ,vol. 322, pp. 1479- 1480 ,(2001) , 10.1136/BMJ.322.7300.1479
Marcus H. Galea, Roger W. Blamey, Christopher E. Elston, Ian O. Ellis, The Nottingham Prognostic Index in primary breast cancer. Breast Cancer Research and Treatment. ,vol. 22, pp. 207- 219 ,(1992) , 10.1007/BF01840834
Christine Porzelius, Harald Binder, Martin Schumacher, Parallelized prediction error estimation for evaluation of high-dimensional models Bioinformatics. ,vol. 25, pp. 827- 829 ,(2009) , 10.1093/BIOINFORMATICS/BTP062
Christos Sotiriou, Pratyaksha Wirapati, Sherene Loi, Adrian Harris, Steve Fox, Johanna Smeds, Hans Nordgren, Pierre Farmer, Viviane Praz, Benjamin Haibe-Kains, Christine Desmedt, Denis Larsimont, Fatima Cardoso, Hans Peterse, Dimitry Nuyten, Marc Buyse, Marc J Van de Vijver, Jonas Bergh, Martine Piccart, Mauro Delorenzi, None, Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis Journal of the National Cancer Institute. ,vol. 98, pp. 262- 272 ,(2006) , 10.1093/JNCI/DJJ052