1 citations · 1 across the 4 of their papers we have counts for
4 papers
Detecting gene-environment interactions to guide personalized intervention: boosting distributional regression for polygenic scores
Qiong Wu, Hannah Klinkhammer, Kiran Kunwar +3
Polygenic risk scores can be used to model the individual genetic liability for human traits. Current methods primarily focus on modeling the mean of a phenotype neglecting the var…
Boosting Distributional Copula Regression for Bivariate Right-Censored Time-to-Event Data
Guillermo Briseno-Sanchez, Nadja Klein, Andreas Groll +1
We propose a highly flexible distributional copula regression model for bivariate time-to-event data in the presence of right-censoring. The joint survival function of the response…
Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
Annika Strömer, Nadja Klein, Christian Staerk +3
Structured additive distributional copula regression allows to model the joint distribution of multivariate outcomes by relating all distribution parameters to covariates. Estimati…
Boosting Distributional Copula Regression for Bivariate Binary, Discrete and Mixed Responses
Guillermo Briseño Sanchez, Nadja Klein, Hannah Klinkhammer +1
Motivated by challenges in the analysis of biomedical data and observational studies, we develop statistical boosting for the general class of bivariate distributional copula regre…