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Federico Rotolo

Showing results (1-10 of 26) with videos related to

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BMC Medical Research Methodology|June 3, 2014
Testing the treatment effect on competing causes of death in oncology clinical trialsFederico Rotolo, Stefan Michiels
Bulletin Du Cancer|August 7, 2016
[Not Available]Xavier Paoletti, Federico Rotolo, Stefan Michiels
Statistics in Medicine|September 19, 2015
Incorporation of nested frailties into semiparametric multi-state modelsFederico Rotolo, Virginie Rondeau, Catherine Legrand
European Journal of Cancer (Oxford, England : 1990)|September 26, 2017
First-line treatment in metastatic colorectal cancer: Important or crucial?David Malka, Federico Rotolo, Valérie Boige
BMC Medical Research Methodology|May 24, 2017
Robust estimation of the expected survival probabilities from high-dimensional Cox models with biomarker-by-treatment interactions in randomized clinical trialsNils Ternès, Federico Rotolo, Stefan Michiels
Statistics in Medicine|March 13, 2016
Empirical extensions of the lasso penalty to reduce the false discovery rate in high-dimensional Cox regression modelsNils Ternès, Federico Rotolo, Stefan Michiels
Bioinformatics (Oxford, England)|September 21, 2017
biospear: an R package for biomarker selection in penalized Cox regressionNils Ternès, Federico Rotolo, Stefan Michiels
Computer Methods and Programs in Biomedicine|March 8, 2018
surrosurv: An R package for the evaluation of failure time surrogate endpoints in individual patient data meta-analyses of randomized clinical trialsFederico Rotolo, Xavier Paoletti, Stefan Michiels
Computer Methods and Programs in Biomedicine|October 27, 2012
A simulation procedure based on copulas to generate clustered multi-state survival dataFederico Rotolo, Catherine Legrand, Ingrid Van Keilegom
Contemporary Clinical Trials Communications|July 25, 2019
An alternative trial-level measure for evaluating failure-time surrogate endpoints based on prediction errorShaima Belhechmi, Stefan Michiels, Xavier Paoletti, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
BMC Medical Research Methodology|June 3, 2014
Testing the treatment effect on competing causes of death in oncology clinical trialsFederico Rotolo, Stefan Michiels
Bulletin Du Cancer|August 7, 2016
[Not Available]Xavier Paoletti, Federico Rotolo, Stefan Michiels
Statistics in Medicine|September 19, 2015
Incorporation of nested frailties into semiparametric multi-state modelsFederico Rotolo, Virginie Rondeau, Catherine Legrand
European Journal of Cancer (Oxford, England : 1990)|September 26, 2017
First-line treatment in metastatic colorectal cancer: Important or crucial?David Malka, Federico Rotolo, Valérie Boige
BMC Medical Research Methodology|May 24, 2017
Robust estimation of the expected survival probabilities from high-dimensional Cox models with biomarker-by-treatment interactions in randomized clinical trialsNils Ternès, Federico Rotolo, Stefan Michiels
Statistics in Medicine|March 13, 2016
Empirical extensions of the lasso penalty to reduce the false discovery rate in high-dimensional Cox regression modelsNils Ternès, Federico Rotolo, Stefan Michiels
Bioinformatics (Oxford, England)|September 21, 2017
biospear: an R package for biomarker selection in penalized Cox regressionNils Ternès, Federico Rotolo, Stefan Michiels
Computer Methods and Programs in Biomedicine|March 8, 2018
surrosurv: An R package for the evaluation of failure time surrogate endpoints in individual patient data meta-analyses of randomized clinical trialsFederico Rotolo, Xavier Paoletti, Stefan Michiels
Computer Methods and Programs in Biomedicine|October 27, 2012
A simulation procedure based on copulas to generate clustered multi-state survival dataFederico Rotolo, Catherine Legrand, Ingrid Van Keilegom
Contemporary Clinical Trials Communications|July 25, 2019
An alternative trial-level measure for evaluating failure-time surrogate endpoints based on prediction errorShaima Belhechmi, Stefan Michiels, Xavier Paoletti, et al.
Pageof 3