%0 Journal Article %1 Filleron2010 %A Filleron, Thomas %A Laplanche, Agnès %A Boher, Jean-Marie %A Kramar, Andrew %D 2010 %J Computer methods and programs in biomedicine %K Algorithms Humans Nonparametric RiskManagement RiskManagement:statistics&numericaldata Statistics SurvivalAnalysis %N 1 %P 24-38 %R 10.1016/j.cmpb.2010.02.004 %T An R function to non-parametric and piecewise analysis of competing risks survival data. %U http://www.ncbi.nlm.nih.gov/pubmed/20338662 %V 100 %X Competing risks are frequently encountered in the analysis of survival data. Different methods of analysis can be used in estimated and comparing cumulative incidence functions provided enough information is available as to the times and causes of failure. Algorithms written in R have been developed to handle this type of data. In this paper we propose an R add-on function to the cmprsk package. This function is specifically oriented towards the non-parametric analysis of competing risk data and which provides analyses of three commonly used methods all in one program. We illustrate the use of this function with two examples in oncology and compare the estimates with those provided on the cmprsk and survival package. %@ 1872-7565; 0169-2607

@article{Filleron2010, abstract = {Competing risks are frequently encountered in the analysis of survival data. Different methods of analysis can be used in estimated and comparing cumulative incidence functions provided enough information is available as to the times and causes of failure. Algorithms written in R have been developed to handle this type of data. In this paper we propose an R add-on function to the cmprsk package. This function is specifically oriented towards the non-parametric analysis of competing risk data and which provides analyses of three commonly used methods all in one program. We illustrate the use of this function with two examples in oncology and compare the estimates with those provided on the cmprsk and survival package.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Filleron, Thomas and Laplanche, Agnès and Boher, Jean-Marie and Kramar, Andrew}, biburl = {https://www.bibsonomy.org/bibtex/2ede999c07aa71131365928c424a9c055/jepcastel}, city = {Institut Claudius Regaud, 20-24 rue du Pont Saint Pierre, 31052 Toulouse, France.}, doi = {10.1016/j.cmpb.2010.02.004}, interhash = {5b8f51b5582a0e917bd81be243f262ed}, intrahash = {ede999c07aa71131365928c424a9c055}, isbn = {1872-7565; 0169-2607}, issn = {1872-7565}, journal = {Computer methods and programs in biomedicine}, keywords = {Algorithms Humans Nonparametric RiskManagement RiskManagement:statistics&numericaldata Statistics SurvivalAnalysis}, month = {10}, note = {5711<m:linebreak></m:linebreak>CI: Copyright (c) 2010; JID: 8506513; 2009/07/06 [received]; 2010/02/13 [revised]; 2010/02/21 [accepted]; 2010/03/24 [aheadofprint]; ppublish;<m:linebreak></m:linebreak>Anàlisi de supervivència; Competing risks}, number = 1, pages = {24-38}, pmid = {20338662}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {An R function to non-parametric and piecewise analysis of competing risks survival data.}, url = {http://www.ncbi.nlm.nih.gov/pubmed/20338662}, volume = 100, year = 2010 }