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European Journal of Cancer (Oxford, England : 1990)
|
December 28, 2016
Estimation of net survival for cancer patients: Relative survival setting more robust to some assumption violations than cause-specific setting, a sensitivity analysis on empirical data
Robin Schaffar, Bernard Rachet, Aurélien Belot, et al.
BMC Cancer
|
August 7, 2016
No inequalities in survival from colorectal cancer by education and socioeconomic deprivation - a population-based study in the North Region of Portugal, 2000-2002
Luís Antunes, Denisa Mendonça, Maria José Bento, et al.
BMC Medical Research Methodology
|
November 22, 2019
Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology
Camille Maringe, Aurélien Belot, Francisco Javier Rubio, et al.
Cancer Epidemiology
|
July 6, 2015
The impact of age at diagnosis on socioeconomic inequalities in adult cancer survival in England
Ula Nur, Georgios Lyratzopoulos, Bernard Rachet, et al.
Statistics in Medicine
|
April 11, 2018
Explained variation of excess hazard models
Camille Maringe, Maja Pohar Perme, Janez Stare, et al.
Cancers
|
October 27, 2022
Mediating Effects of Diagnostic Route on the Comorbidity Gap in Survival of Patients with Diffuse Large B-Cell or Follicular Lymphoma in England
Matthew J Smith, Bernard Rachet, Miguel Angel Luque-Fernandez
Epidemiology (Cambridge, Mass.)
|
March 17, 2015
Estimating excess hazard ratios and net survival when covariate data are missing: strategies for multiple imputation
Milena Falcaro, Ula Nur, Bernard Rachet, et al.
Biostatistics (Oxford, England)
|
May 7, 2020
Direct modeling of the crude probability of cancer death and the number of life years lost due to cancer without the need of cause of death: a pseudo-observation approach in the relative survival setting
Dimitra-Kleio Kipourou, Maja Pohar Perme, Bernard Rachet, et al.
International Journal of Cancer
|
March 23, 2012
Full dates (day, month, year) should be used in population-based cancer survival studies
Laura M Woods, Bernard Rachet, Libby Ellis, et al.
Plos One
|
March 7, 2017
Reproducibility, reliability and validity of population-based administrative health data for the assessment of cancer non-related comorbidities
Camille Maringe, Helen Fowler, Bernard Rachet, et al.
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of 15
Search research articles
Search
Showing results (31-40 of 149) with videos related to
Sort By:
Page
of 15
European Journal of Cancer (Oxford, England : 1990)
|
December 28, 2016
Estimation of net survival for cancer patients: Relative survival setting more robust to some assumption violations than cause-specific setting, a sensitivity analysis on empirical data
Robin Schaffar, Bernard Rachet, Aurélien Belot, et al.
BMC Cancer
|
August 7, 2016
No inequalities in survival from colorectal cancer by education and socioeconomic deprivation - a population-based study in the North Region of Portugal, 2000-2002
Luís Antunes, Denisa Mendonça, Maria José Bento, et al.
BMC Medical Research Methodology
|
November 22, 2019
Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology
Camille Maringe, Aurélien Belot, Francisco Javier Rubio, et al.
Cancer Epidemiology
|
July 6, 2015
The impact of age at diagnosis on socioeconomic inequalities in adult cancer survival in England
Ula Nur, Georgios Lyratzopoulos, Bernard Rachet, et al.
Statistics in Medicine
|
April 11, 2018
Explained variation of excess hazard models
Camille Maringe, Maja Pohar Perme, Janez Stare, et al.
Cancers
|
October 27, 2022
Mediating Effects of Diagnostic Route on the Comorbidity Gap in Survival of Patients with Diffuse Large B-Cell or Follicular Lymphoma in England
Matthew J Smith, Bernard Rachet, Miguel Angel Luque-Fernandez
Epidemiology (Cambridge, Mass.)
|
March 17, 2015
Estimating excess hazard ratios and net survival when covariate data are missing: strategies for multiple imputation
Milena Falcaro, Ula Nur, Bernard Rachet, et al.
Biostatistics (Oxford, England)
|
May 7, 2020
Direct modeling of the crude probability of cancer death and the number of life years lost due to cancer without the need of cause of death: a pseudo-observation approach in the relative survival setting
Dimitra-Kleio Kipourou, Maja Pohar Perme, Bernard Rachet, et al.
International Journal of Cancer
|
March 23, 2012
Full dates (day, month, year) should be used in population-based cancer survival studies
Laura M Woods, Bernard Rachet, Libby Ellis, et al.
Plos One
|
March 7, 2017
Reproducibility, reliability and validity of population-based administrative health data for the assessment of cancer non-related comorbidities
Camille Maringe, Helen Fowler, Bernard Rachet, et al.
Page
of 15