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J Beyersmann

Showing results (1-10 of 13) with videos related to

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Statistics in Medicine|April 5, 2013
Planning and evaluating clinical trials with composite time-to-first-event endpoints in a competing risk frameworkG Rauch, J Beyersmann
Statistics in Medicine|February 15, 2007
Comments on 'Analysing and interpreting competing risk data'A Latouche, J Beyersmann, J P Fine
Methods of Information in Medicine|August 7, 2009
Efficient risk set sampling when a time-dependent exposure is present: matching for time to exposure versus exposure density samplingMartin Wolkewitz, J Beyersmann, P Gastmeier, et al.
Methods of Information in Medicine|October 17, 2007
Attributable mortality due to nosocomial infections. A simple and useful application of multistate modelsM Schumacher, M Wangler, M Wolkewitz, et al.
Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases|August 3, 2010
Estimating the impact of healthcare-associated infections on length of stay and costsG De Angelis, A Murthy, J Beyersmann, et al.
Epidemiology and Infection|March 8, 2012
Initially fewer bloodstream infections for allogeneic vs. autologous stem-cell transplants in neutropenic patientsS Hieke, H Bertz, M Dettenkofer, et al.
Methods of Information in Medicine|September 12, 2006
Are KISS data representative of German intensive care units? Statistical issuesG Rücker, R Schoop, J Beyersmann, et al.
Epidemiology and Infection|April 23, 2021
Sampling designs for rare time-dependent exposures: a comparison of the nested exposure case-control design and exposure density samplingJ Feifel, M von Cube, K Ohneberg, et al.
Infection Control and Hospital Epidemiology|May 4, 2006
Use of multistate models to assess prolongation of intensive care unit stay due to nosocomial infectionJ Beyersmann, P Gastmeier, H Grundmann, et al.
Methods of Information in Medicine|June 26, 2015
Analysis of Clinical Cohort Data Using Nested Case-control and Case-cohort Sampling Designs. A Powerful and Economical ToolK Ohneberg, M Wolkewitz, J Beyersmann, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Statistics in Medicine|April 5, 2013
Planning and evaluating clinical trials with composite time-to-first-event endpoints in a competing risk frameworkG Rauch, J Beyersmann
Statistics in Medicine|February 15, 2007
Comments on 'Analysing and interpreting competing risk data'A Latouche, J Beyersmann, J P Fine
Methods of Information in Medicine|August 7, 2009
Efficient risk set sampling when a time-dependent exposure is present: matching for time to exposure versus exposure density samplingMartin Wolkewitz, J Beyersmann, P Gastmeier, et al.
Methods of Information in Medicine|October 17, 2007
Attributable mortality due to nosocomial infections. A simple and useful application of multistate modelsM Schumacher, M Wangler, M Wolkewitz, et al.
Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases|August 3, 2010
Estimating the impact of healthcare-associated infections on length of stay and costsG De Angelis, A Murthy, J Beyersmann, et al.
Epidemiology and Infection|March 8, 2012
Initially fewer bloodstream infections for allogeneic vs. autologous stem-cell transplants in neutropenic patientsS Hieke, H Bertz, M Dettenkofer, et al.
Methods of Information in Medicine|September 12, 2006
Are KISS data representative of German intensive care units? Statistical issuesG Rücker, R Schoop, J Beyersmann, et al.
Epidemiology and Infection|April 23, 2021
Sampling designs for rare time-dependent exposures: a comparison of the nested exposure case-control design and exposure density samplingJ Feifel, M von Cube, K Ohneberg, et al.
Infection Control and Hospital Epidemiology|May 4, 2006
Use of multistate models to assess prolongation of intensive care unit stay due to nosocomial infectionJ Beyersmann, P Gastmeier, H Grundmann, et al.
Methods of Information in Medicine|June 26, 2015
Analysis of Clinical Cohort Data Using Nested Case-control and Case-cohort Sampling Designs. A Powerful and Economical ToolK Ohneberg, M Wolkewitz, J Beyersmann, et al.
Pageof 2