Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was small
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Clinical Epidemiology"
DOI: 10.1016/j.jclinepi.2020.12.005
Abstract: Objectives When developing a clinical prediction model, penalization techniques are recommended to address overfitting, as they shrink predictor effect estimates toward the null and reduce mean-square prediction error in new individuals. However, shrinkage and penalty… read more here.
Keywords: clinical prediction; penalization; model; sample size ... See more keywords
Vortex particle method with iterative Brinkman penalization for simulation of flow past sharp-shape bodies
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Micro Air Vehicles"
DOI: 10.1177/17568293221113927
Abstract: This paper presents a Lagrangian vortex method combined with iterative Brinkman penalization for the simulation of incompressible flow past a complex geometry. In the proposed algorithm, particle and penalization domains are separately introduced. The particle… read more here.
Keywords: particle; brinkman penalization; penalization; penalization simulation ... See more keywords
A Penalization Method for Estimating Heterogeneous Covariate Effects in Cancer Genomic Data
Sign Up to like & getrecommendations! Published in 2022 at "Genes"
DOI: 10.3390/genes13040702
Abstract: In high-throughput profiling studies, extensive efforts have been devoted to searching for the biomarkers associated with the development and progression of complex diseases. The heterogeneity of covariate effects associated with the outcomes across subjects has… read more here.
Keywords: covariate effects; penalization method; cancer; penalization ... See more keywords