Andreas Bender

Postdoctoral Lecturer and Research Associate

Ludwig-Maximilians-Universität München

Germany

Research Interests

Explore related searches

Professors in Germany

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Andreas Bender is a Postdoctoral Lecturer and Research Associate at Ludwig-Maximilians-Universität München, Germany. His research interests encompass flexible modeling of time-varying exposures, recurrent event analyses, and deep learning applications in survival analysis. He has contributed to various studies examining training load effects in sports injuries, species interactions, and treatment effect estimation in observational data.

Articles (15)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (10)

Raphael Sonabend

University College London

UNITED KINGDOM

View details

Johannes Rueckel

University Hospital

GERMANY

View details

Torsten Hothorn

University of Zurich

SWITZERLAND

View details

Tim Lucas

University of Oxford

UNITED KINGDOM

View details

Catherine Moyes

University of Oxford

UNITED KINGDOM

View details

Dae-Jin Lee

Assistant Professor

IE University

SPAIN

View details

Sebastian Stintzing

Professor

Charité - Universitätsmedizin Berlin

GERMANY

View details

Michael Ingrisch

University Hospital, LMU Munich

GERMANY

View details

Marta Blangiardo

Imperial College London

UNITED KINGDOM

View details

Felix Guenther

Robert Koch Institute

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Andreas Bender

Research Interests

Explore related searches

Contact this professor

About

Articles (15)

Flexible modelling of time-varying exposures and recurrent events to analyse training load effects in team sports injuries

Heterogeneous treatment effect estimation for observational data using model-based forests

Introducing recurrent event analyses to assess species interactions based on camera‐trap data: A comparison with time‐to‐first‐event approaches

Time-Varying Determinants of Graft Failure in Pediatric Kidney Transplantation in Europe

Deep learning for survival analysis: a review

Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models

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)

Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures

A downscaling approach to compare COVID‐19 count data from databases aggregated at different spatial scales

Mundus Vult Decipi, Ergo Decipiatur: Visual Communication of Uncertainty in Election Polls

Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer

Predicting non-state terrorism worldwide

Analysis of the early COVID-19 epidemic curve in Germany by regression models with change points

Nowcasting the COVID‐19 pandemic in Bavaria

Modelling geospatial distributions of the triatomine vectors of Trypanosoma cruzi in Latin America

Collaborators (10)

Raphael Sonabend

Johannes Rueckel

Torsten Hothorn

Tim Lucas

Catherine Moyes

Dae-Jin Lee

Sebastian Stintzing

Michael Ingrisch

Marta Blangiardo

Felix Guenther

Make your next move.