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Stefan Konigorski
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Cited by
Year
Diagnosis of obesity and use of obesity biomarkers in science and clinical medicine
K Nimptsch, S Konigorski, T Pischon
Metabolism 92, 61-70, 2019
2892019
Time to reality check the promises of machine learning-powered precision medicine
J Wilkinson, KF Arnold, EJ Murray, M van Smeden, K Carr, R Sippy, ...
The Lancet Digital Health 2 (12), e677-e680, 2020
1952020
Directed Acyclic Graphs and causal thinking in clinical risk prediction modeling
M Piccininni, S Konigorski, JL Rohmann, T Kurth
arXiv preprint arXiv:2002.09414, 2020
542020
Directed Acyclic Graphs and causal thinking in clinical risk prediction modeling.
KT Piccininni M, Konigorski S, Rohmann JL
BMC Medical Research Methodology 20, 179, 2020
54*2020
Sexist behavior undermines women¢s performance in a job application situation
SC Koch, S Konigorski, M Sieverding
Sex roles 70 (3-4), 79-87, 2014
402014
Association of dietary intake of milk and dairy products with blood concentrations of insulin-like growth factor 1 (IGF-1) in Bavarian adults
ER Ventura, S Konigorski, S Rohrmann, H Schneider, GK Stalla, ...
European journal of nutrition 59 (4), 1413-1420, 2020
382020
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa
J Fehr, S Konigorski, S Olivier, R Gunda, A Surujdeen, D Gareta, T Smit, ...
NPJ digital medicine 4 (1), 1-10, 2021
362021
Variability and reliability study of overall physical activity and activity intensity levels using 24 h-accelerometry-assessed data
L Jaeschke, A Steinbrecher, S Jeran, S Konigorski, T Pischon
BMC Public Health 18 (1), 1-10, 2018
362018
Prediction of circulating adipokine levels based on body fat compartments and adipose tissue gene expression
S Konigorski, J Janke, D Drogan, MM Bergmann, J Hierholzer, R Kaaks, ...
Obesity facts 12 (6), 590-605, 2019
302019
Predicting the SARS-CoV-2 effective reproduction number using bulk contact data from mobile phones
S Rüdiger, S Konigorski, A Rakowski, JA Edelman, D Zernick, A Thieme, ...
Proceedings of the National Academy of Sciences 118 (31), e2026731118, 2021
262021
transferGWAS: GWAS of images using deep transfer learning
M Kirchler, S Konigorski, M Norden, C Meltendorf, M Kloft, C Schurmann, ...
Bioinformatics 38 (14), 3621-3628, 2022
252022
Type 1 diabetes and the HLA region: Genetic association besides classical HLA class II genes
J Sticht, M Álvaro-Benito, S Konigorski
Frontiers in Genetics 12, 1044, 2021
212021
Bivariate genetic association analysis of systolic and diastolic blood pressure by copula models
S Konigorski, YE Yilmaz, SB Bull
BMC proceedings 8 (S1), S72, 2014
192014
Comparison of single-marker and multi-marker tests in rare variant association studies of quantitative traits
S Konigorski, YE Yilmaz, T Pischon
PloS one 12 (5), e0178504, 2017
122017
StudyU: a platform for designing and conducting innovative digital N-of-1 trials
S Konigorski, S Wernicke, T Slosarek, AM Zenner, N Strelow, DF Ruether, ...
Journal of Medical Internet Research 24 (7), e35884, 2022
102022
Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes
R Monti, P Rautenstrauch, M Ghanbari, AR James, M Kirchler, U Ohler, ...
Nature communications 13 (1), 5332, 2022
82022
Diagnostic accuracy of cerebrospinal fluid biomarkers for the differential diagnosis of sporadic Creutzfeldt–Jakob disease: a (network) meta‐analysis
N Rübsamen, S Pape, S Konigorski, A Zapf, G Rücker, A Karch
European Journal of Neurology 29 (5), 1366-1376, 2022
72022
Interaction-Based Feature Selection Algorithm Outperforms Polygenic Risk Score in Predicting Parkinson¢s Disease Status
JL Cope, HA Baukmann, JE Klinger, CNJ Ravarani, EP Böttinger, ...
Frontiers in Genetics 12, 2021
72021
Genetic association analysis based on a joint model of gene expression and blood pressure
S Konigorski, YE Yilmaz, T Pischon
BMC proceedings 10 (7), 57, 2016
72016
Powerful rare variant association testing in a copula‐based joint analysis of multiple phenotypes
S Konigorski, YE Yilmaz, J Janke, MM Bergmann, H Boeing, T Pischon
Genetic Epidemiology 44 (1), 26-40, 2020
62020
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Articles 1–20