A robust and efficient stepwise regression method for building sparse polynomial chaos expansions Vrije Universiteit Brussel
Two- and three-dimensional quantitative structureU+2013permeability relationship of flavonoids in Caco-2 cells using stepwise multiple linear regression (SMLR), partial least squares regression (PLSR), and pharmacophore (GALAHAD)-based comparative mol Ghent University
Duration of hospitalization for minimally invasive CABG versus CABG through sternotomy; a stepwise linear regression analysis. Hasselt University
Modeling soil moisture from multisource data by stepwise multilinear regression: An application to the Chinese Loess Plateau Vrije Universiteit Brussel
This study aims to integrate multisource data to model the relative soil moisture (RSM) over the Chinese Loess Plateau in 2017 by stepwise multilinear regression (SMLR) in order to improve the spatial coverage of our previously published RSM. First, 34 candidate variables (12 quantitative and 22 dummy variables) from the Moderate Resolution Imaging Spectroradiometer (MODIS) and topographic, soil properties, and meteorological data were ...
Input variable selection with greedy stepwise search algorithm for analysing the probability of fish occurrence : a case study for Alburnoides mossulensis in the Gamasiab River, Iran Ghent University
Impact of stepwise introduction of smoke-free legislation on population rates of acute myocardial infarction deaths in Flanders, Belgium Hasselt University KU Leuven
Impact of a stepwise introduction of smoke-free legislation on the rate of preterm births: analysis of routinely collected birth data Hasselt University KU Leuven
A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide Vrije Universiteit Brussel
Empirical spatial air pollution models have been applied extensively to assess exposure in epidemiological studies with increasingly sophisticated and complex statistical algorithms beyond ordinary linear regression. However, different algorithms have rarely been compared in terms of their predictive ability. This study compared 16 algorithms to predict annual average fine particle (PM 2.5) and nitrogen dioxide (NO ...