Upcoming Events & Dates

We regularly organize lectures and events. They are open to the public. We are looking forward to your participation.

You can subscribe to our mailing list to stay informed about upcoming events:

IMBE Office, imbe-sekretariat@uke.de

Colloquium Epidemiology and Biostatistics

As part of our Epidemiology and Biostatistics Colloquium, we regularly invite outstanding scientists from the fields of Epidemiology and Biometry.

The next lectures are currently being planned.

Seminar Series in Epidemiology and Biostatistics

The seminar series in Epidemiology and Biostatistics is an ongoing event. We regularly invite outstanding speakers from the fields of Epidemiology and Biometry.

Tuesday, 21 October 2025 | 14:00 - 15:30 h | N61 lecture hall

Martin Spindler - University of Hamburg

Causal Machine Learning with Double Machine Learning: An Introduction and Recent Developments with focus on Medicine and Health Care

The new field of Causal Machine Learning combines causal inference with modern methods of machine learning to estimate treatment effects in complex settings.

In this talk an introduction into the so-called Debiased/ Double Machine Learning approach is given and potential applications in the field of Medicine and Health Care are discussed. Finally, recent developments are presented.

The DoubleML package ( docs.doubleml.org ) provides a software implementation and will also be discussed.

Lecture series of the Institute of Medical Biometry and Epidemiology on the topic
Fill the gap - New insights on how to handle missing data
When/Where?Presentations
14.10.2025; 16:00h
(4pm CEST)
On-site only: N43		Fill the gap – How to handle missing data
Katharina Stahlmann, Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
(First overview talk)
11.11.2025; 12:30h
(12:30pm CET)
Online (see zoom link below)		Outcomes truncated by death in randomized trials: A survey of intercurrent event strategies from the ICH E9(R1) Addendum
Prof. Michael Harhay, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
25.11.2025; 12:30h
(12:30pm CET)
Online (see zoom link below)		Modeling informative missingness in pharmacokinetic longitudinal data: A joint model approach
Dr. Srimanti Dutta, Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
20.01.2026; 16:30h
(4:30pm CET)
Online (see zoom link below)		Longitudinal data analysis using Bayesian pattern-mixture models for incomplete data with dropout and intermittent missingness
Prof. Shelley A. Blozis, Department of Psychology, University of California, Davis, CA, USA
27.01.2026; 12:30h
(12:30pm CET)
Online (see zoom link below)		How to handle informative missing data in longitudinal outcomes with joint models
Prof. Dimitris Rizopoulos, Department of Biostatistics, Erasmus Medical Center Rotterdam, South Holland, the Netherlands
03.02.2026; 10:30h
(10:30am CET)
Online (see zoom link below)		Using causal diagrams to guide analyses of incomplete data and multiple imputation
Prof. Katherine J Lee, Murdoch Children's Research Institute & University of Melbourne, Melbourne, Victoria, Australia
17.02.2026; 12:30h
(12:30pm CET)
Online (see zoom link below)		Integrating Zero-Inflated Longitudinal Counts and Survival Data with Cure Fraction for Dynamic Risk Prediction
Dr. Taban Baghfalaki, Department of Mathematics, The University of Manchester, Manchester, UK
03.03.2026; 15:00h
(3pm CET)
Online (see zoom link below)		Methods for Handling Missing Data in Statistical Analysis
Prof. Roderick Little, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
(Second overview talk)