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Research Group Helmut Küchenhoff


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Helmut Küchenhoff

Prof. Dr.

Principal Investigator

Helmut Küchenhoff

is the former head of the Statistical Consulting Unit (StaBLab) at LMU Munich, which is known for providing expert statistical guidance to both academic researchers and industries.

His research interests include statistical modeling, measurement error, and misclassification, with a focus on applying statistical techniques to real-world data, including the analysis of COVID-19 data.

Team members @MCML

PhD Students

Link to website

Henri Funk

Link to website

Johannes Piller

Recent News @MCML

Link to MCML Researchers in Highly-Ranked Journals

02.01.2025

MCML Researchers in Highly-Ranked Journals

130 Papers in 2025 Highlight Scientific Impact

Link to MCML Researchers in Highly-Ranked Journals

02.01.2024

MCML Researchers in Highly-Ranked Journals

93 Papers in 2024 Highlight Scientific Impact

Link to MCML Researchers in Highly-Ranked Journals

02.01.2023

MCML Researchers in Highly-Ranked Journals

43 Papers in 2023 Highlight Scientific Impact

Link to MCML Researchers in Highly-Ranked Journals

02.01.2022

MCML Researchers in Highly-Ranked Journals

28 Papers in 2022 Highlight Scientific Impact

Publications @MCML

2025


[28]
S. Wiegrebe • J. Piller • M. Gorski • M. Behr • H. Küchenhoff • I. M. Heid • A. Bender
Multi-state Models For Modeling Disease Histories Based On Longitudinal Data.
Preprint (Sep. 2025). arXiv

[27] Top Journal
H. Funk • R. Ludwig • H. KüchenhoffT. Nagler
Towards more realistic climate model outputs: A multivariate bias correction based on zero-inflated vine copulas.
Journal of the Royal Statistical Society. Series C (Applied Statistics).qlaf044. Aug. 2025. DOI

[26]
H. Funk • R. Ludwig • H. KüchenhoffT. Nagler
Modelling Climate Variables at High Temporal Resolution.
Preprint (Feb. 2025). DOI

[25] Top Journal
M. Gorski • S. Wiegrebe • R. Burkhardt • M. Behr • H. Küchenhoff • K. J. Stark • C. A. Böger • I. M. Heid
Bias-corrected serum creatinine from UK Biobank electronic medical records generates an important data resource for kidney function trajectories.
Scientific Reports 15.3540. Jan. 2025. DOI


2024


[23] Top Journal
A. Beyerlein • K. Katz • H. Küchenhoff • W. Hartl
Long-Term Changes in Vaccination Protection Against Severe Courses of COVID-19 by Non-adapted MRNA-Based Vaccines.
Deutsches Ärzteblatt 121.24. Nov. 2024. DOI

[22] Top Journal
C. Janke • R. Rubio-Acero • M. Weigert • C. Reinkemeyer • Y. Khazaei • L. Kleinlein • R. Le Gleut • K. Radon • M. Hannes • F. Picasso • A. E. Lucke • M. Plank • I. C. Kotta • I. Paunovic • A. Zhelyazkova • I. Noreña • S. Winter • M. Hoelscher • A. Wieser • H. Küchenhoff • N. Castelletti • o. b. o. t. ORCHESTRA Working Group
Understanding the Omicron Variant Impact in Healthcare Workers: Insights from the Prospective COVID-19 Post-Immunization Serological Cohort in Munich (KoCo-Impf) on Risk Factors for Breakthrough and Reinfections.
Viruses 16.10. Sep. 2024. DOI

[21]
C. A. ScholbeckH. FunkG. Casalicchio
Algorithm-Agnostic Feature Attributions for Clustering.
xAI 2024 - 2nd World Conference on Explainable Artificial Intelligence. Valletta, Malta, Jul 17-19, 2024. DOI

[20]
J. PillerH. KüchenhoffA. Bender
Flexible additive models for multi-event survival analysis.
IWSM 2024 - 38th International Workshop on Statistical Modelling. Durham, UK, Jul 14-19, 2024. PDF

[19] Top Journal
W. H. Hartl • P. Kopper • L. Xu • L. Heller • M. Mironov • R. Wang • A. G. Day • G. Elke • H. KüchenhoffA. Bender
Relevance of Protein Intake for Weaning in the Mechanically Ventilated Critically Ill: Analysis of a Large International Database.
Critical Care Medicine 50.3. Mar. 2024. DOI

2023


[18] Top Journal
A. Beyerlein • M. Weigert • K. Katz • H. Küchenhoff • W. Hartl
Langzeitveränderungen des Impfschutzes vor schweren COVID-19-Verläufen.
Deutsches Ärzteblatt 120.51-52. Nov. 2023. DOI

[17] Top Journal
A. Beyerlein • M. Weigert • K. Katz • H. Küchenhoff • W. Hartl
Long-Term Trends in the Protection Against Severe Courses of COVID-19 by Vaccination.
Deutsches Ärzteblatt 120.51-52. Nov. 2023. DOI

[16] Top Journal
D. Wolffram • S. Abbott • M. an der Heiden • S. Funk • F. Günther • D. Hailer • S. Heyder • T. Hotz • J. van de Kassteele • H. Küchenhoff • S. Müller-Hansen • D. Syliqi • A. Ullrich • M. Weigert • M. Schienle • J. Bracher
Collaborative nowcasting of COVID-19 hospitalization incidences in Germany.
PLOS Computational Biology 19.8. Aug. 2023. DOI

[15] Top Journal
C. Reinkemeyer • Y. Khazaei • M. Weigert • M. Hannes • R. Le Gleut • M. Plank • S. Winter • I. Norena • T. Meier • L. Xu • R. Rubio-Acero • S. Wiegrebe • T. G. Le Thi • C. Fuchs • K. Radon • I. Paunovic • C. Janke • A. Wieser • H. Küchenhoff • M. Hoelscher • N. Castelletti •  KoCo Impf ORCHESTRA Working Grp
The Prospective COVID-19 Post-Immunization Serological Cohort in Munich (KoCo-Impf): Risk Factors and Determinants of Immune Response in Healthcare Workers.
Viruses 15.7. Jul. 2023. DOI

[14]
L. Zumeta-Olaskoaga • M. Weigert • J. Larruskain • E. Bikandi • I. Setuain • J. Lekue • H. Küchenhoff • D.-J. Lee
Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models.
Advances in Statistical Analysis 107. Mar. 2023. DOI

2022


[13] Top Journal
C. Fritz • G. De Nicola • F. Günther • D. Rügamer • M. Rave • M. Schneble • A. BenderM. Weigert • R. Brinks • A. Hoyer • U. Berger • H. KüchenhoffG. Kauermann
Challenges in Interpreting Epidemiological Surveillance Data – Experiences from Germany.
Journal of Computational and Graphical Statistics 32.3. Dec. 2022. DOI

[12] Top Journal
E. Pretzsch • V. Heinemann • S. Stintzing • A. BenderS. Chen • J. W. Holch • F. O. Hofmann • H. Ren • F. Böschand • H. Küchenhoff • J. Werner • M. K. Angele
EMT-Related Genes Have No Prognostic Relevance in Metastatic Colorectal Cancer as Opposed to Stage II/III: Analysis of the Randomised, Phase III Trial FIRE-3 (AIO KRK 0306; FIRE-3).
Cancers 14.22. Nov. 2022. DOI

[11]
C. A. ScholbeckH. FunkG. Casalicchio
Algorithm-Agnostic Interpretations for Clustering.
Preprint (Sep. 2022). arXiv

[10]
C. Fritz • G. De Nicola • M. Rave • M. Weigert • Y. Khazaei • U. Berger • H. KüchenhoffG. Kauermann
Statistical modelling of COVID-19 data: Putting generalized additive models to work.
Statistical Modelling 24.4. Aug. 2022. DOI

[9] Top Journal
M. Mittermeier • M. WeigertD. RügamerH. Küchenhoff • R. Ludwig
A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensemble.
Environmental Research Letters 17.8. Jul. 2022. DOI


[7]
A. BauerM. Weigert • H. Jalal
APCtools: Descriptive and Model-based Age-Period-Cohort Analysis.
The Journal of Open Source Software 7.73. May. 2022. DOI

[6] Top Journal
W. Hartl • P. Kopper • A. BenderF. Scheipl • A. G. Day • G. Elke • H. Küchenhoff
Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models.
Critical Care 26.7. Jan. 2022. DOI

2021


[5]
M. Mittermeier • M. WeigertD. Rügamer
Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach.
Tackling Climate Change with ML @NeurIPS 2021 - Workshop on Tackling Climate Change with Machine Learning at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. PDF

[4]
A. BauerF. ScheiplH. Küchenhoff
Registration for Incomplete Non-Gaussian Functional Data.
Preprint (Aug. 2021). arXiv

[3] Top Journal
A. M. Keppler • K. Küßner • A.-L. Schulze • E. M. Suero • C. Neuerburg • M. Weigert • C. Braun • W. Böcker • C. Kammerlander • C. Zeckey
Radiographic cortical thickness parameters as predictors of rotational alignment in proximal tibial shaft fractures: a cadaveric study.
BMC Musculoskeletal Disorders 22.590. Jun. 2021. DOI

[2]
M. WeigertA. Bauer • J. Karl • A. Nalmpatian • H. Küchenhoff • J. Schmude
Semiparametric APC analysis of destination choice patterns: Using generalized additive models to quantify the impact of age, period, and cohort on travel distances.
Tourism Economics 28.5. Jan. 2021. DOI

2020


[1]
J. Wrobel • A. Bauer • J. McDonnel • F. Scheipl
registr: Curve Registration for Exponential Family Functional Data. R package.
2020. GitHub