ePCR: Ensemble Penalized Cox Regression Modeling for Overall...
In ePCR: Ensemble Penalized Cox Regression for Survival Prediction
Description
Author(s)
References
Description
Ensemble Penalized Cox Regression Modeling for Overall Survival and Time-to-Event Prediction in Advanced Prostate Cancer
Author(s)
Teemu Daniel Laajala teelaa@utu.fi
References
Laajala TD, Murtojärvi M, Virkki A, Aittokallio T. ePCR: an R-package for survival and time-to-event prediction in advanced prostate cancer, applied to a real-world patient cohort. Laajala TD, Murtojärvi M, Virkki A, Aittokallio T. ePCR: an R-package for survival and time-to-event prediction in advanced prostate cancer, applied to a real-world patient cohort. Bioinformatics. 2018 Jun 15. doi: 10.1093/bioinformatics/bty477.
Guinney J, Wang T, Laajala TD, et al. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data. Lancet Oncol 2017; 18: 132-142.
Laajala TD, Guinney J, Costello JC. Community mining of open clinical trial data. Oncotarget 2017; 8: 81721-81722. doi: 10.18632/oncotarget.20853.
ePCR documentation built on Dec. 1, 2019, 1:21 a.m.
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Description Author(s) References
Description
Ensemble Penalized Cox Regression Modeling for Overall Survival and Time-to-Event Prediction in Advanced Prostate Cancer
Author(s)
Teemu Daniel Laajala teelaa@utu.fi
References
Laajala TD, Murtojärvi M, Virkki A, Aittokallio T. ePCR: an R-package for survival and time-to-event prediction in advanced prostate cancer, applied to a real-world patient cohort. Laajala TD, Murtojärvi M, Virkki A, Aittokallio T. ePCR: an R-package for survival and time-to-event prediction in advanced prostate cancer, applied to a real-world patient cohort. Bioinformatics. 2018 Jun 15. doi: 10.1093/bioinformatics/bty477.
Guinney J, Wang T, Laajala TD, et al. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data. Lancet Oncol 2017; 18: 132-142.
Laajala TD, Guinney J, Costello JC. Community mining of open clinical trial data. Oncotarget 2017; 8: 81721-81722. doi: 10.18632/oncotarget.20853.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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