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Aurélien Latouche

Showing results (1-10 of 48) with videos related to

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Biometrical Journal. Biometrische Zeitschrift|February 11, 2011
Discrimination measures for survival outcomes: connection between the AUC and the predictiveness curveVivian Viallon, Aurélien Latouche
Statistics in Medicine|May 9, 2013
Regression modeling of the cumulative incidence function with missing causes of failure using pseudo-valuesMargarita Moreno-Betancur, Aurélien Latouche
Statistics in Medicine|August 6, 2020
Authors' responsePeter C Austin, Aurélien Latouche
Archives of Internal Medicine|March 30, 2011
On the benefit of intensive care for very old patientsAriane Boumendil, Aurélien Latouche, Bertrand Guidet, et al.
Statistics in Medicine|October 19, 2004
Sample size formula for proportional hazards modelling of competing risksAurélien Latouche, Raphaël Porcher, Sylvie Chevret
Statistical Methods in Medical Research|February 16, 2026
Designing clinical trials for the comparison of single and multiple quantiles with right-censored dataBeatriz Farah, Olivier Bouaziz, Aurélien Latouche
Pharmaceutical Statistics|January 17, 2020
On evaluating how well a biomarker can predict treatment response with survival dataBassirou Mboup, Paul Blanche, Aurélien Latouche
Archives of Gerontology and Geriatrics|November 3, 2012
Homebound status increases death risk within two years in the elderly: results from a national longitudinal surveyMarie Herr, Aurélien Latouche, Joël Ankri
JCO Precision Oncology|January 7, 2022
Insights for Quantifying the Long-Term Benefit of Immunotherapy Using Quantile RegressionBassirou Mboup, Christophe Le Tourneau, Aurélien Latouche
Biometrics|March 13, 2015
Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failureMargarita Moreno-Betancur, Grégoire Rey, Aurélien Latouche
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Biometrical Journal. Biometrische Zeitschrift|February 11, 2011
Discrimination measures for survival outcomes: connection between the AUC and the predictiveness curveVivian Viallon, Aurélien Latouche
Statistics in Medicine|May 9, 2013
Regression modeling of the cumulative incidence function with missing causes of failure using pseudo-valuesMargarita Moreno-Betancur, Aurélien Latouche
Statistics in Medicine|August 6, 2020
Authors' responsePeter C Austin, Aurélien Latouche
Archives of Internal Medicine|March 30, 2011
On the benefit of intensive care for very old patientsAriane Boumendil, Aurélien Latouche, Bertrand Guidet, et al.
Statistics in Medicine|October 19, 2004
Sample size formula for proportional hazards modelling of competing risksAurélien Latouche, Raphaël Porcher, Sylvie Chevret
Statistical Methods in Medical Research|February 16, 2026
Designing clinical trials for the comparison of single and multiple quantiles with right-censored dataBeatriz Farah, Olivier Bouaziz, Aurélien Latouche
Pharmaceutical Statistics|January 17, 2020
On evaluating how well a biomarker can predict treatment response with survival dataBassirou Mboup, Paul Blanche, Aurélien Latouche
Archives of Gerontology and Geriatrics|November 3, 2012
Homebound status increases death risk within two years in the elderly: results from a national longitudinal surveyMarie Herr, Aurélien Latouche, Joël Ankri
JCO Precision Oncology|January 7, 2022
Insights for Quantifying the Long-Term Benefit of Immunotherapy Using Quantile RegressionBassirou Mboup, Christophe Le Tourneau, Aurélien Latouche
Biometrics|March 13, 2015
Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failureMargarita Moreno-Betancur, Grégoire Rey, Aurélien Latouche
Pageof 5