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Michael G. Schimek
Michael G. Schimek
Professor of Statistics, Medical University of Graz (Emeritus), Statistics & Research Vienna Austria
Potvrđena adresa e-pošte na medunigraz.at - Početna stranica
Naslov
Citirano
Citirano
Godina
Smoothing and regression: approaches, computation, and application
MG Schimek
John Wiley & Sons, 2013
3122013
Inference of transcription factor binding from cell-free DNA enables tumor subtype prediction and early detection
P Ulz, S Perakis, Q Zhou, T Moser, J Belic, I Lazzeri, A Wölfler, A Zebisch, ...
Nature communications 10 (1), 4666, 2019
2122019
Acute effects of particulate matter on respiratory diseases, symptoms and functions:: epidemiological results of the Austrian Project on Health Effects of Particulate Matter …
M Neuberger, MG Schimek, F Horak Jr, H Moshammer, M Kundi, ...
Atmospheric Environment 38 (24), 3971-3981, 2004
1872004
Two transforming C-RAF germ-line mutations identified in patients with therapy-related acute myeloid leukemia
A Zebisch, PB Staber, A Delavar, C Bodner, K Hiden, K Fischereder, ...
Cancer research 66 (7), 3401-3408, 2006
1172006
Estimation and inference in partially linear models with smoothing splines
MG Schimek
Journal of Statistical Planning and Inference 91 (2), 525-540, 2000
982000
Vascular endothelial expression of indoleamine 2, 3-dioxygenase 1 forms a positive gradient towards the feto-maternal interface
A Blaschitz, M Gauster, D Fuchs, I Lang, P Maschke, D Ulrich, E Karpf, ...
PloS one 6 (7), e21774, 2011
812011
Statistical Theory and Computational Aspects of Smoothing: Proceedings of the COMPSTAT’94 Satellite Meeting Held in Semmering, Austria, 27–28 August 1994
W Härdle, M Schimek
Springer Science & Business Media, 2013
77*2013
Estimation in partially linear models
RL Eubank, EL Kambour, JT Kim, K Klipple, CS Reese, M Schimek
Computational Statistics & Data Analysis 29 (1), 27-34, 1998
711998
Methods of multivariate analysis
AC Rencher, MG Schimek
Computational Statistics 12 (4), 422-422, 1997
711997
An untargeted metabolomics approach to characterize short-term and long-term metabolic changes after bariatric surgery
SH Narath, SI Mautner, E Svehlikova, B Schultes, TR Pieber, FM Sinner, ...
PloS one 11 (9), e0161425, 2016
662016
TopKLists: a comprehensive R package for statistical inference, stochastic aggregation, and visualization of multiple omics ranked lists
MG Schimek, E Budinská, KG Kugler, V Švendová, J Ding, S Lin
Statistical Applications in Genetics and Molecular Biology 14 (3), 311-316, 2015
592015
Somatic TP53 mutations characterize preleukemic stem cells in acute myeloid leukemia
R Lal, K Lind, E Heitzer, P Ulz, K Aubell, K Kashofer, JM Middeke, ...
Blood, The Journal of the American Society of Hematology 129 (18), 2587-2591, 2017
562017
Additive and generalized additive models
MG Schimek, BA Turlach
Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2006
492006
Human fetoplacental arterial and venous endothelial cells are differentially programmed by gestational diabetes mellitus, resulting in cell-specific barrier function changes
S Cvitic, B Novakovic, L Gordon, CM Ulz, M Mühlberger, FI Diaz-Perez, ...
Diabetologia 61, 2398-2411, 2018
452018
Moderate-deviation-based inference for random degeneration in paired rank lists
P Hall, MG Schimek
Journal of the American Statistical Association 107 (498), 661-672, 2012
452012
Robust random forest-based all-relevant feature ranks for trustworthy ai
B Pfeifer, A Holzinger, MG Schimek
Challenges of Trustable AI and Added-Value on Health, 137-138, 2022
382022
Taking account of uncertainty in spatial covariance estimation
J Pilz, G Spoeck, MG Schimek
Geostatistics Wollongong &96. 1 (1997) 1, 300, 1997
291997
Semiparametric penalized generalized additive models for environmental research and epidemiology
MG Schimek
Environmetrics: The official journal of the International Environmetrics …, 2009
282009
A hierarchical clustering and data fusion approach for disease subtype discovery
B Pfeifer, MG Schimek
Journal of Biomedical Informatics 113, 103636, 2021
272021
High keratin 8/18 ratio predicts aggressive hepatocellular cancer phenotype
N Golob-Schwarzl, K Bettermann, AK Mehta, SM Kessler, J Unterluggauer, ...
Translational oncology 12 (2), 256-268, 2019
272019
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