4 papers
Causal Effect Estimation with TMLE: Handling Missing Data and Near-Violations of Positivity
Christoph Wiederkehr, Christian Heumann, Michael Schomaker
We evaluate the performance of targeted maximum likelihood estimation (TMLE) for estimating the average treatment effect in missing data scenarios under varying levels of positivit…
Mortality simulations for insured and general populations
Asmik Nalmpatian, Christian Heumann
This study presents a framework for high-resolution mortality simulations tailored to insured and general populations. Due to the scarcity of detailed demographic-specific mortalit…
Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R Implementation
Fabian Obster, Christian Heumann
This paper introduces a novel framework for reducing variable selection bias by balancing selection frequencies of base-learners in boosting and introduces the sgboost package in R…
Advanced Techniques in Mortality Trend Estimation: Integrating Generalized Additive Models and Machine Learning to Evaluate the COVID-19 Impact
Asmik Nalmpatian, Christian Heumann, Stefan Pilz
The last two centuries have seen a significant increase in life expectancy. Although past trends suggest that mortality will continue to decline in the future, uncertainty and inst…