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Maximilian M Mandl

Showing results (1-10 of 5) with videos related to

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Statistics in Medicine|July 14, 2025
Outlier Detection in Mendelian RandomizationMaximilian M Mandl, Anne-Laure Boulesteix, Stephen Burgess, et al.
BMC Medical Research Methodology|July 17, 2024
Addressing researcher degrees of freedom through minP adjustmentMaximilian M Mandl, Andrea S Becker-Pennrich, Ludwig C Hinske, et al.
Plos Computational Biology|March 28, 2024
Raising awareness of uncertain choices in empirical data analysis: A teaching concept toward replicable research practicesMaximilian M Mandl, Sabine Hoffmann, Sebastian Bieringer, et al.
BMC Medical Informatics and Decision Making|September 3, 2025
Comparing supervised machine learning algorithms for the prediction of partial arterial pressure of oxygen during craniotomyAndrea S Gutmann, Maximilian M Mandl, Clemens Rieder, et al.
Medcomm|October 28, 2024
Point-of-care breath sample analysis by semiconductor-based E-Nose technology discriminates non-infected subjects from SARS-CoV-2 pneumonia patients: a multi-analyst experimentTobias Woehrle, Florian Pfeiffer, Maximilian M Mandl, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Statistics in Medicine|July 14, 2025
Outlier Detection in Mendelian RandomizationMaximilian M Mandl, Anne-Laure Boulesteix, Stephen Burgess, et al.
BMC Medical Research Methodology|July 17, 2024
Addressing researcher degrees of freedom through minP adjustmentMaximilian M Mandl, Andrea S Becker-Pennrich, Ludwig C Hinske, et al.
Plos Computational Biology|March 28, 2024
Raising awareness of uncertain choices in empirical data analysis: A teaching concept toward replicable research practicesMaximilian M Mandl, Sabine Hoffmann, Sebastian Bieringer, et al.
BMC Medical Informatics and Decision Making|September 3, 2025
Comparing supervised machine learning algorithms for the prediction of partial arterial pressure of oxygen during craniotomyAndrea S Gutmann, Maximilian M Mandl, Clemens Rieder, et al.
Medcomm|October 28, 2024
Point-of-care breath sample analysis by semiconductor-based E-Nose technology discriminates non-infected subjects from SARS-CoV-2 pneumonia patients: a multi-analyst experimentTobias Woehrle, Florian Pfeiffer, Maximilian M Mandl, et al.
Pageof 1