Author Schmid, Matthias
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2010 | Journal Article |
Model-based Boosting 2.0
Hothorn, T.; Bühlmann, P.; Kneib, T. ; Schmid, M. & Hofner, B. (2010)
Journal of Machine Learning Reseach - Machine Learning Open Source Software, 11 pp. 2109-2113.
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2010 | Report
GAMLSS for high-dimensional data – a flexible approach based on boosting
Mayr, A.; Hofner, B.; Kneib, T. & Schmid, M. (2010)
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2011 | Journal Article
A Framework for Unbiased Model Selection Based on Boosting
Hofner, B.; Hothorn, T.; Kneib, T. & Schmid, M. (2011)
Journal of Computational and Graphical Statistics, 20(4) pp. 956-971. DOI: https://doi.org/10.1198/jcgs.2011.09220
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2012 | Journal Article
Generalized additive models for location, scale and shape for high dimensional data-a flexible approach based on boosting
Mayr, A.; Fenske, N.; Hofner, B.; Kneib, T. & Schmid, M. (2012)
Journal of the Royal Statistical Society. Series C, Applied statistics, 61(3) pp. 403-427. DOI: https://doi.org/10.1111/j.1467-9876.2011.01033.x
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2016 | Journal Article | Research Paper
Approaches to Regularized Regression - A Comparison between Gradient Boosting and the Lasso
Hepp, T.; Schmid, M.; Gefeller, O.; Waldmann, E. & Mayr, A. (2016)
Methods of Information in Medicine, 55(5) pp. 422-430. DOI: https://doi.org/10.3414/me16-01-0033
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2017 | Journal Article
Boosting joint models for longitudinal and time-to-event data
Taylor-Robinson, D.; Pressler, T.; Schmid, M.; Mayr, A.; Waldmann, E. ; Klein, N. & Kneib, T. (2017)
Biometrical Journal, 59(6) pp. 1104-1121-1121. DOI: https://doi.org/10.1002/bimj.201600158
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2019 | Journal Article | Research Paper |
Addendum to: Approaches to Regularized Regression - A Comparison between Gradient Boosting and the Lasso
Hepp, T.; Schmid, M.; Gefeller, O.; Waldmann, E. & Mayr, A. (2019)
Methods of Information in Medicine, 58(1) pp. 60. DOI: https://doi.org/10.1055/s-0038-1669389
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2020 | Journal Article |
PLCG2 protective variant p.P522R modulates tau pathology and disease progression in patients with mild cognitive impairment
Kleineidam, L.; Chouraki, V.; Próchnicki, T.; van der Lee, S. J.; Madrid-Márquez, L.; Wagner-Thelen, H. & Karaca, I. et al. (2020)
Acta Neuropathologica, 139(6) pp. 1025-1044. DOI: https://doi.org/10.1007/s00401-020-02138-6
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2023 | Journal Article
Accounting for time dependency in meta‐analyses of concordance probability estimates
Schmid, M.; Friede, T.; Klein, N. & Weinhold, L. (2023)
Research Synthesis Methods, art. jrsm.1655. DOI: https://doi.org/10.1002/jrsm.1655
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2023 | Journal Article
Prevention of cerebral thromboembolism by oral anticoagulation with dabigatran after pulmonary vein isolation for atrial fibrillation: the ODIn-AF trial
Schrickel, J. W.; Beiert, T.; Linhart, M.; Luetkens, J. A.; Schmitz, J.; Schmid, M. & Hindricks, G. et al. (2023)
Clinical Research in Cardiology,. DOI: https://doi.org/10.1007/s00392-023-02319-9
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2023 | Journal Article |
Brain reserve contributes to distinguishing preclinical Alzheimer’s stages 1 and 2
Yildirim, Z.; Delen, F.; Berron, D.; Baumeister, H.; Ziegler, G.; Schütze, H. & Glanz, W. et al. (2023)
Alzheimer's Research & Therapy, 15(1) art. 43. DOI: https://doi.org/10.1186/s13195-023-01187-9
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2023 | Journal Article |
Exploring the ATN classification system using brain morphology
Heinzinger, N.; Maass, A.; Berron, D.; Yakupov, R.; Peters, O.; Fiebach, J. & Villringer, K. et al. (2023)
Alzheimer's Research & Therapy, 15(1) art. 50. DOI: https://doi.org/10.1186/s13195-023-01185-x
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2023 | Journal Article |
Arterial hypertension and β-amyloid accumulation have spatially overlapping effects on posterior white matter hyperintensity volume: a cross-sectional study
Bernal, J.; Schreiber, S.; Menze, I.; Ostendorf, A.; Pfister, M.; Geisendörfer, J. & Nemali, A. et al. (2023)
Alzheimer's Research & Therapy, 15(1) art. 97. DOI: https://doi.org/10.1186/s13195-023-01243-4
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