Results 71 to 80 of about 8,838,426 (323)
Smart Green Nudging: Reducing Product Returns Through Digital Footprints and Causal Machine Learning
Marketing science (Providence, R.I.)This paper empirically investigates the use of personalized green nudging based on causal machine learning to reduce consumer returns in e-commerce.
Moritz von Zahn +5 more
semanticscholar +1 more source
Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium [PDF]
Social Science Research Network, 2019 Based on administrative data of unemployed in Belgium, we estimate the labour market effects of three training programmes at various aggregation levels using Modified Causal Forests, a causal machine learning estimator. While all programmes have positive
Cockx Bart +2 more
semanticscholar +1 more source
Causal Machine Learning and Business Decision Making
Social Science Research Network, 2021 Causal knowledge is critical for strategic and organizational decision-making. By contrast, standard machine learning approaches remain purely correlational and prediction-based, rendering them unsuitable for addressing a wide variety of managerial ...
Paul Huenermund +2 more
semanticscholar +1 more source
FEBS Letters, EarlyView.This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
EntropyEmergence and causality are two fundamental concepts for understanding complex systems. They are interconnected. On one hand, emergence refers to the phenomenon where macroscopic properties cannot be solely attributed to the cause of individual ...
Bing Yuan +8 more
doaj +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Machine learning in causal inference for epidemiology
European Journal of EpidemiologyAbstractIn causal inference, parametric models are usually employed to address causal questions estimating the effect of interest. However, parametric models rely on the correct model specification assumption that, if not met, leads to biased effect estimates.
Chiara Moccia +7 more
openaire +4 more sources
Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy
Molecular Oncology, EarlyView.We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen +19 more
wiley +1 more source
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R
Journal of Statistical SoftwareThe R package DoubleML implements the double/debiased machine learning framework of Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, Newey, and Robins (2018).
Philipp Bach +4 more
doaj +1 more source
Evaluating the Role of Machine Learning in Economics: A Cutting-Edge Addition or Rhetorical Device?
Studies in Logic, Grammar and Rhetoric, 2023 This paper explores the integration of machine learning into economics and social sciences, assessing its potential impact and limitations. It introduces fundamental machine learning concepts and principles, highlighting the differences between the two ...
Czech Sławomir
doaj +1 more source