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Martin Wolkewitz

Showing results (1-10 of 175) with videos related to

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Critical Care (London, England)|March 8, 2014
Avoidable statistical pitfalls in analyzing length of stay in intensive care units or hospitalsMartin Wolkewitz
Infection Control and Hospital Epidemiology|July 26, 2016
Accounting for Competing Events in Multivariate Analyses of Hospital-Acquired Infection Risk FactorsMartin Wolkewitz
American Journal of Respiratory and Critical Care Medicine|November 13, 2015
Estimating the Risk of Ventilator-associated Pneumonia as a Function of TimeMartin Wolkewitz
Plos One|April 7, 2017
Correction: Neuraminidase Inhibitors and Hospital Mortality in British Patients with H1N1 Influenza A: A Re-Analysis of Observational DataMartin Wolkewitz, Martin Schumacher
Open Forum Infectious Diseases|January 7, 2022
Response to "Overlooked Shortcomings of Observational Studies of Interventions in Coronavirus Disease 2019: An Illustrated Review for the Clinician" by Tleyjeh et alMartin Wolkewitz, Oksana Martinuka
Journal of Clinical Epidemiology|February 12, 2017
Survival biases lead to flawed conclusions in observational treatment studies of influenza patientsMartin Wolkewitz, Martin Schumacher
Critical Care (London, England)|July 17, 2014
Evaluating mortality in an intensive care unit requires extended survival modelsMartin Wolkewitz, Harriet Sommer
BMC Medical Research Methodology|April 16, 2020
Methodological challenges of analysing COVID-19 data during the pandemicMartin Wolkewitz, Livia Puljak
Computer Methods and Programs in Biomedicine|July 17, 2010
Simulating and analysing infectious disease data in a heterogeneous population with migrationMartin Wolkewitz, Martin Schumacher
Plos One|September 2, 2016
Neuraminidase Inhibitors and Hospital Mortality in British Patients with H1N1 Influenza A: A Re-Analysis of Observational DataMartin Wolkewitz, Martin Schumacher
Pageof 18

Showing results (1-10 of 175) with videos related to

Sort By:
Pageof 18
Critical Care (London, England)|March 8, 2014
Avoidable statistical pitfalls in analyzing length of stay in intensive care units or hospitalsMartin Wolkewitz
Infection Control and Hospital Epidemiology|July 26, 2016
Accounting for Competing Events in Multivariate Analyses of Hospital-Acquired Infection Risk FactorsMartin Wolkewitz
American Journal of Respiratory and Critical Care Medicine|November 13, 2015
Estimating the Risk of Ventilator-associated Pneumonia as a Function of TimeMartin Wolkewitz
Plos One|April 7, 2017
Correction: Neuraminidase Inhibitors and Hospital Mortality in British Patients with H1N1 Influenza A: A Re-Analysis of Observational DataMartin Wolkewitz, Martin Schumacher
Open Forum Infectious Diseases|January 7, 2022
Response to "Overlooked Shortcomings of Observational Studies of Interventions in Coronavirus Disease 2019: An Illustrated Review for the Clinician" by Tleyjeh et alMartin Wolkewitz, Oksana Martinuka
Journal of Clinical Epidemiology|February 12, 2017
Survival biases lead to flawed conclusions in observational treatment studies of influenza patientsMartin Wolkewitz, Martin Schumacher
Critical Care (London, England)|July 17, 2014
Evaluating mortality in an intensive care unit requires extended survival modelsMartin Wolkewitz, Harriet Sommer
BMC Medical Research Methodology|April 16, 2020
Methodological challenges of analysing COVID-19 data during the pandemicMartin Wolkewitz, Livia Puljak
Computer Methods and Programs in Biomedicine|July 17, 2010
Simulating and analysing infectious disease data in a heterogeneous population with migrationMartin Wolkewitz, Martin Schumacher
Plos One|September 2, 2016
Neuraminidase Inhibitors and Hospital Mortality in British Patients with H1N1 Influenza A: A Re-Analysis of Observational DataMartin Wolkewitz, Martin Schumacher
Pageof 18