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Jan Beyersmann

Showing results (51-60 of 112) with videos related to

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Biometrical Journal. Biometrische Zeitschrift|May 22, 2012
Nonparametric inference for the cumulative incidence function of a competing risk, with an emphasis on confidence bands in the presence of left-truncationSusanna Di Termini, Stefanie Hieke, Martin Schumacher, et al.
The Lancet. Oncology|July 12, 2016
Adverse event development in clinical oncology trialsClaudia Schmoor, Ralf Bender, Jan Beyersmann, et al.
Pediatric Blood & Cancer|October 9, 2009
Risk factors disrupting mucosal integrity and subsequent vancomycin-resistant enterococcus infectionJan Beyersmann, Jörg Meerpohl, Markus Dettenkofer, et al.
BMC Medical Research Methodology|June 7, 2011
Understanding competing risks: a simulation point of viewArthur Allignol, Martin Schumacher, Christoph Wanner, et al.
Statistics in Medicine|December 3, 2019
Estimating cumulative incidence functions in competing risks data with dependent left-truncationRegina Stegherr, Arthur Allignol, Reinhard Meister, et al.
International Journal of Epidemiology|September 17, 2013
Hospital-acquired infections--appropriate statistical treatment is urgently needed!Martin Schumacher, Arthur Allignol, Jan Beyersmann, et al.
Trials|June 1, 2024
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY): summary of findings and assessment of existing guidelinesKaspar Rufibach, Jan Beyersmann, Tim Friede, et al.
Biometrical Journal. Biometrische Zeitschrift|March 5, 2011
Application of multistate models in hospital epidemiology: advances and challengesJan Beyersmann, Martin Wolkewitz, Arthur Allignol, et al.
Research Synthesis Methods|September 22, 2015
Meta-analysis for aggregated survival data with competing risks: a parametric approach using cumulative incidence functionsFederico Bonofiglio, Jan Beyersmann, Martin Schumacher, et al.
Pharmaceutical Statistics|May 18, 2021
Estimating and comparing adverse event probabilities in the presence of varying follow-up times and competing eventsRegina Stegherr, Claudia Schmoor, Michael Lübbert, et al.
Pageof 12

Showing results (51-60 of 112) with videos related to

Sort By:
Pageof 12
Biometrical Journal. Biometrische Zeitschrift|May 22, 2012
Nonparametric inference for the cumulative incidence function of a competing risk, with an emphasis on confidence bands in the presence of left-truncationSusanna Di Termini, Stefanie Hieke, Martin Schumacher, et al.
The Lancet. Oncology|July 12, 2016
Adverse event development in clinical oncology trialsClaudia Schmoor, Ralf Bender, Jan Beyersmann, et al.
Pediatric Blood & Cancer|October 9, 2009
Risk factors disrupting mucosal integrity and subsequent vancomycin-resistant enterococcus infectionJan Beyersmann, Jörg Meerpohl, Markus Dettenkofer, et al.
BMC Medical Research Methodology|June 7, 2011
Understanding competing risks: a simulation point of viewArthur Allignol, Martin Schumacher, Christoph Wanner, et al.
Statistics in Medicine|December 3, 2019
Estimating cumulative incidence functions in competing risks data with dependent left-truncationRegina Stegherr, Arthur Allignol, Reinhard Meister, et al.
International Journal of Epidemiology|September 17, 2013
Hospital-acquired infections--appropriate statistical treatment is urgently needed!Martin Schumacher, Arthur Allignol, Jan Beyersmann, et al.
Trials|June 1, 2024
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY): summary of findings and assessment of existing guidelinesKaspar Rufibach, Jan Beyersmann, Tim Friede, et al.
Biometrical Journal. Biometrische Zeitschrift|March 5, 2011
Application of multistate models in hospital epidemiology: advances and challengesJan Beyersmann, Martin Wolkewitz, Arthur Allignol, et al.
Research Synthesis Methods|September 22, 2015
Meta-analysis for aggregated survival data with competing risks: a parametric approach using cumulative incidence functionsFederico Bonofiglio, Jan Beyersmann, Martin Schumacher, et al.
Pharmaceutical Statistics|May 18, 2021
Estimating and comparing adverse event probabilities in the presence of varying follow-up times and competing eventsRegina Stegherr, Claudia Schmoor, Michael Lübbert, et al.
Pageof 12