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1دورية أكاديمية
المؤلفون: David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller
المصدر: Journal of Statistical Software, Vol 105, Pp 1-31 (2023)
مصطلحات موضوعية: Statistics, HA1-4737
وصف الملف: electronic resource
العلاقة: https://www.jstatsoft.org/index.php/jss/article/view/4559Test; https://doaj.org/toc/1548-7660Test
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2دورية أكاديمية
المؤلفون: Rui Martins, Bruno de Sousa, Thomas Kneib, Maike Hohberg, Nadja Klein, Elisa Duarte, Vítor Rodrigues
المصدر: BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-17 (2022)
مصطلحات موضوعية: Copula function, Distributional regression, GJRM, Incomplete data, Menopause, Smoothing, Medicine (General), R5-920
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1471-2288Test
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3دورية أكاديمية
المؤلفون: Nikolaus Umlauf, Nadja Klein, Thorsten Simon, Achim Zeileis
المصدر: Journal of Statistical Software, Vol 100, Pp 1-53 (2021)
مصطلحات موضوعية: Statistics, HA1-4737
وصف الملف: electronic resource
العلاقة: https://www.jstatsoft.org/index.php/jss/article/view/3924Test; https://doaj.org/toc/1548-7660Test
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4دورية أكاديمية
المؤلفون: Lorena Hafermann, Heiko Becher, Carolin Herrmann, Nadja Klein, Georg Heinze, Geraldine Rauch
المصدر: BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-12 (2021)
مصطلحات موضوعية: Background knowledge, Univariable selection, Backward elimination, Variable selection, Regression model, Simulation study, Medicine (General), R5-920
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1471-2288Test
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5دورية أكاديمية
المؤلفون: Christine Wallisch, Paul Bach, Lorena Hafermann, Nadja Klein, Willi Sauerbrei, Ewout W. Steyerberg, Georg Heinze, Geraldine Rauch, on behalf of topic group 2 of the STRATOS initiative
المصدر: PLoS ONE, Vol 17, Iss 1 (2022)
وصف الملف: electronic resource
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6دورية أكاديمية
المؤلفون: Lorena Hafermann, Nadja Klein, Geraldine Rauch, Michael Kammer, Georg Heinze
المصدر: Entropy, Vol 24, Iss 6, p 847 (2022)
مصطلحات موضوعية: calibration, machine learning, sparsity, variable selection, Science, Astrophysics, QB460-466, Physics, QC1-999
وصف الملف: electronic resource
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7دورية أكاديمية
المؤلفون: Paul Bach, Christine Wallisch, Nadja Klein, Lorena Hafermann, Willi Sauerbrei, Ewout W Steyerberg, Georg Heinze, Geraldine Rauch, for topic group 2 of the STRATOS initiative
المصدر: PLoS ONE, Vol 15, Iss 12, p e0241427 (2020)
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1932-6203Test
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8دورية أكاديمية
المصدر: PLoS ONE, Vol 13, Iss 9, p e0203017 (2018)
وصف الملف: electronic resource
العلاقة: http://europepmc.org/articles/PMC6126832?pdf=renderTest; https://doaj.org/toc/1932-6203Test
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9دورية أكاديمية
مصطلحات موضوعية: Medicine, Neuroscience, Sociology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, Generalized additive models for location, scale and shape, identifiability, multimodal learning, neural networks, orthogonalization
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10دورية أكاديمية
المؤلفون: Christine Wallisch (9904147), Paul Bach (9904144), Lorena Hafermann (9904150), Nadja Klein (728217), Willi Sauerbrei (161234), Ewout W. Steyerberg (7653068), Georg Heinze (320211), Geraldine Rauch (828914)
مصطلحات موضوعية: Medicine, Biotechnology, Science Policy, Biological Sciences not elsewhere classified, find many misconceptions, many medical publications, medical research projects, international statistical experts, least one article, addressing nonlinear effects, 23 ), followed, identified relevant gaps, regression modeling contained, nonlinear effects, statistical research, medical journals, relevant articles, regression modeling, modeling leading, statistical tutorials, statistical papers, statistical guidance, regression results, poisson regression, multivariable regression, logistic regression, linear regression, variable selection, survival models
العلاقة: https://figshare.com/articles/journal_contribution/PRISMA_reporting_guideline_/19021983Test