2 citations · 2 across the 2 of their papers we have counts for
3 papers · 1 filter
Cross-Leverage Scores for Selecting Subsets of Explanatory Variables
Katharina Parry, Leo N. Geppert, Alexander Munteanu +1
In a standard regression problem, we have a set of explanatory variables whose effect on some response vector is modeled. For wide binary data, such as genetic marker data, we ofte…
Bivariate Analysis of Birth Weight and Gestational Age Depending on Environmental Exposures: Bayesian Distributional Regression with Copulas
Jonathan Rathjens, Arthur Kolbe, Jürgen Hölzer +2
In this article, we analyze perinatal data with birth weight (BW) as primarily interesting response variable. Gestational age (GA) is usually an important covariate and included in…
Identifying treatment effect heterogeneity in dose-finding trials using Bayesian hierarchical models
Marius Thomas, Björn Bornkamp, Katja Ickstadt
An important task in drug development is to identify patients, which respond better or worse to an experimental treatment. Identifying predictive covariates, which influence the tr…