Stefan Konigorski
Title
Cited by
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
662019
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
302014
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, 2020
242020
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
162018
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
162014
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
92019
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
92017
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
82020
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
62016
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
52020
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
5*2020
Joint analysis of multiple phenotypes: summary of results and discussions from the Genetic Analysis Workshop 19
A Schillert, S Konigorski
BMC genetics 17 (S2), S7, 2016
52016
Forecasting the SARS-CoV-2 effective reproduction number using bulk contact data from mobile phones
S Rüdiger, S Konigorski, J Edelman, D Zernick, A Thieme, C Lippert
medRxiv, 2020
22020
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
22020
Estimating and testing direct genetic effects in directed acyclic graphs using estimating equations
S Konigorski, Y Wang, C Cigsar, YE Yilmaz
Genetic epidemiology 42 (2), 174-186, 2018
22018
Fast kernel-based rare-variant association tests integrating variant annotations from deep learning
S Konigorski, R Monti, P Rautenstrauch, C Lippert
GENETIC EPIDEMIOLOGY 44 (5), 495-495, 2020
12020
C-JAMP: Copula-based Joint Analysis of Multiple Phenotypes
S Konigorski, YE Yilmaz
CRAN, 2019
12019
Integrating omics and MRI data with kernel-based tests and CNNs to identify rare genetic markers for Alzheimer's disease
S Konigorski, S Khorasani, C Lippert
arXiv preprint arXiv:1812.00448, 2018
12018
Kernel-based tests for very rare variants
S Konigorski, C Lippert
GENETIC EPIDEMIOLOGY 42 (7), 711-711, 2018
12018
Prediction of circulating adipokine levels by body fat compartments and adipose tissue gene expression
S Konigorski, J Janke, D Drogan, MM Bergmann, J Hierholzer, R Kaaks
Revue d'Épidémiologie et de Santé Publique 66, S353, 2018
12018
The system can't perform the operation now. Try again later.
Articles 1–20