3 papers
stat.ME2025
Undersmoothed LASSO Models for Propensity Score Weighting and Synthetic Negative Control Exposures for Bias Detection
Richard Wyss, Ben B. Hansen, Georg Hahn +2
The propensity score (PS) is often used to control for large numbers of covariates in high-dimensional healthcare database studies. The least absolute shrinkage and selection opera…
stat.ME2025
Parameter Estimation and Inference in a Continuous Piecewise Linear Regression Model
Georg Hahn, Moulinath Banerjee, Bodhisattva Sen
The estimation of regression parameters in one dimensional broken stick models is a research area of statistics with an extensive literature. We are interested in extending such mo…
stat.AP2025
Penalized Principal Component Analysis Using Smoothing
Rebecca M. Hurwitz, Georg Hahn
Principal components computed via PCA (principal component analysis) are traditionally used to reduce dimensionality in genomic data or to correct for population stratification. In…