Results 81 to 90 of about 16,351 (263)

Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC

Frontiers in Ecology and Evolution, 2019
The methods for making statistical inferences in scientific analysis have diversified even within the frequentist branch of statistics, but comparison has been elusive.
Brian Dennis, José Miguel Ponciano, Mark L. Taper, Mark L. Taper, Subhash R. Lele   +4 more
doaj   +1 more source

Model‐Based Analysis with Mechanistic Insights to CAR‐T‐Cell Therapy Kinetics: Case Study with Axicabtagene Ciloleucel and Brexucabtagene Autoleucel

Clinical Pharmacology &Therapeutics, EarlyView.
Model‐informed drug development is increasingly used to support chimeric antigen receptor (CAR)‐T‐cell therapy programs. However, most population pharmacokinetic (PK) CAR‐T‐cell models available in literature are variations of an empirical piecewise‐linear model, which accurately describes the observed data but lacks a mechanistic foundation.
Anna M. Mc Laughlin, Martin Bergstrand, Ana Ruiz‐Garcia, Simone Filosto, Rhine Shen   +4 more
wiley   +1 more source

Applying the M2 Statistic to Evaluate the Fit of Diagnostic Classification Models in the Presence of Attribute Hierarchies

Frontiers in Psychology, 2018
The performance of the limited-information statistic M2 for diagnostic classification models (DCMs) is under-investigated in the current literature. Specifically, the investigations of M2 for specific DCMs rather than general modeling frameworks are ...
Fu Chen, Yanlou Liu, Tao Xin, Ying Cui
doaj   +1 more source

CEO Overconfidence, Industry Competition, and ESG Performance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the interplay among CEO overconfidence, industry competition, and firms' ESG (Environmental, Social, and Governance) performance. With the growing importance of ESG management, firms are investing more in ESG initiatives as a strategic approach to mitigating downside risk. However, overconfident CEOs, characterized by their
Taehyung Kim, Jaeseog Na
wiley   +1 more source

Simulating realistic patient profiles from pharmacokinetic models by a machine learning postprocessing correction of residual variability

CPT: Pharmacometrics & Systems Pharmacology
We address the problem of model misspecification in population pharmacokinetics (PopPK), by modeling residual unexplained variability (RUV) by machine learning (ML) methods in a postprocessing step after conventional model building. The practical purpose
Christos Kaikousidis, Robert R. Bies, Aristides Dokoumetzidis   +2 more
doaj   +1 more source

Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality

Corporate Social Responsibility and Environmental Management, EarlyView.
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

Minimum Penalized ϕ-Divergence Estimation under Model Misspecification

Entropy, 2018
This paper focuses on the consequences of assuming a wrong model for multinomial data when using minimum penalized ϕ -divergence, also known as minimum penalized disparity estimators, to estimate the model parameters.
M. Virtudes Alba-Fernández, M. Dolores Jiménez-Gamero, F. Javier Ariza-López   +2 more
doaj   +1 more source

Family Control and Ownership, Corporate Culture, and ESG Performance in Thailand

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Motivated by the growing importance of environmental, social, and governance (ESG) performance in emerging markets, we examine how family control and ownership, together with corporate culture, influence the ESG performance of publicly listed firms in Thailand.
Sirimon Treepongkaruna, Stefano Starita, Kam Fong Chan   +2 more
wiley   +1 more source

Robust Portfolio Optimization with Environmental, Social, and Corporate Governance Preference

Risks
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

The Synergistic Impact of Corporate Social Responsibility and Environmental, Social, and Governance Disclosure on Green Innovation: Practical Implications for Sustainability‐Oriented Innovation Strategies

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This research examines the synergistic influence of corporate social responsibility (CSR) and environmental, social, and governance (ESG) disclosure on green innovation (GI) within Romanian small and medium‐sized industrial enterprises. In light of growing regulatory requirements and the transformation toward a sustainable economy, the study ...
Melinda Timea Fülöp, Javier Cifuentes‐Faura   +1 more
wiley   +1 more source