Results 91 to 100 of about 17,373 (263)
Robust Portfolio Optimization with Environmental, Social, and Corporate Governance Preference
This study addresses the crucial but under-explored topic of ambiguity aversion, i.e., model misspecification, in the area of environmental, social, and corporate governance (ESG) within portfolio decisions.
Marcos Escobar-Anel, Yiyao Jiao
doaj +1 more source
Newsvendor under Ambiguity and Misspecification
We consider a newsvendor problem with unknown demand distribution, where we distinguish ambiguity under which the newsvendor does not differentiate demand distributions of common characteristics (e.g., mean and variance) and misspecification under which such characteristics might be misspecified (due to, e.g., estimation error and/or distribution shift)
Feng Liu +3 more
openaire +2 more sources
Abstract Irregular observation times are common in longitudinal observational studies and can affect causal inferences. We use data from electronic health records of Kaiser Permanente Washington patients in the United States who initiated an antidepressant medication between 2008 and 2018, with a confirming diagnosis of depression. We are interested in
Janie Coulombe +2 more
wiley +1 more source
Uncertainty quantification for misspecified machine learned interatomic potentials
The use of high-dimensional regression techniques from machine learning has significantly improved the quantitative accuracy of interatomic potentials. Atomic simulations can now plausibly target quantitative predictions in a variety of settings, which ...
Danny Perez +3 more
doaj +1 more source
Cofetuzumab pelidotin (Cofe‐P) is an anti‐protein tyrosine kinase 7 (PTK7) antibody‐drug conjugate (ADC) being investigated for the treatment of adults with PTK7‐expressing, recurrent non‐small cell lung cancer (NSCLC). The first‐in‐human (FIH) trial demonstrated tolerability of dosages ≤ 2.8 mg/kg once every 3 weeks (Q3W) and ≤ 3.2 mg/kg Q2W ...
Carla Biesdorf +8 more
wiley +1 more source
The aim of this paper is to evaluate the spatial and hierarchical models for data generating processes with spatial heterogeneity and spatial dependence at the higher level.
Edyta Łaszkiewicz
doaj
Tramadol is frequently co‐prescribed with oxycodone or hydrocodone after surgery under the assumption that its dual mechanism of action provides an opioid‐sparing benefit. However, evidence supporting this practice is limited and inconsistent. We conducted a secondary analysis of the multicenter IGNITE ADOPT‐PGx pragmatic trial of patients undergoing ...
Noor A. Nahid +302 more
wiley +1 more source
Digital patients and in silico clinical trials offer new opportunities to advance pharmacological research, clinical development, and regulatory decision‐making by enabling the simulation of treatment effects prior to testing in patients. Among the most promising of these opportunities is the combined use of quantitative systems pharmacology (QSP) and ...
Thomas Klabunde +3 more
wiley +1 more source
Considerations for the Integration of Clinical Trials and Real‐World Data
As clinical decision‐making increasingly moves toward individualized and context‐specific treatment recommendations, reliance on any single evidence source, randomized or observational, may be insufficient. Principled integration of randomized controlled trials and real‐world data, grounded in explicit causal frameworks, offers a path toward evidence ...
Sky Qiu +19 more
wiley +1 more source
Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley +1 more source

