Results 221 to 230 of about 117,399 (299)

Ruxolitinib Pharmacokinetics and Exposure–Toxicity Relationship in Hematologic Malignancies and Immune‐Mediated Diseases: A Prospective Observational Study

Clinical Pharmacology &Therapeutics, EarlyView.
Ruxolitinib pharmacokinetics (PK) has been characterized in clinical trials but remains poorly documented in real‐world practice. This project aimed to investigate ruxolitinib PK in routine clinical practice, identify factors driving its variability, and explore exposure–response relationships to assess the potential role of therapeutic drug monitoring.
Jérémie Tachet, Sara C. Meyer, Francesco Grandoni, Emmanuel Haefliger, Monika Nagy‐Hulliger, Jörg P. Halter, Jakob R. Passweg, David Haefliger, Carine Bardinet, Laurent A. Decosterd, Monia Guidi, François R. Girardin   +11 more
wiley   +1 more source

A note on a nonparametric regression test through penalized splines. [PDF]

Stat Sin, 2014
Chen H, Wang Y, Li R, Shear K.
europepmc   +1 more source

Assessing Climate Change Disclosure and Its Governance Drivers: Insights From the European Utilities Sector

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims to enhance academic understanding of the factors influencing the disclosure practices of climate change among European utility companies, specifically in the context of their sustainability reporting. The primary objective is to explore, through a multi‐theoretical framework, the governance drivers that significantly affect the
Cristina Boţa‐Avram, Adriana Tiron Tudor, Liana Stanca   +2 more
wiley   +1 more source

Massively parallel nonparametric regression, with an application to developmental brain mapping. [PDF]

J Comput Graph Stat, 2014
Reiss PT, Huang L, Chen YH, Huo L, Tarpey T, Mennes M.   +5 more
europepmc   +1 more source

A Meta‐Analytic Review of Board Characteristics and Carbon Emission Disclosure: The Moderating Effect of Contextual Factors

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The relationship between board governance and corporate carbon emission disclosure remains persistently inconsistent across the empirical literature, despite decades of accumulated evidence. Drawing on agency, stakeholder, legitimacy, institutional, and upper echelons perspectives within a single analytical framework, we conduct a three‐level ...
Mohamed Hegazy, Diego Prior, Mahmoud Zarea   +2 more
wiley   +1 more source

Sustainability Disclosure and Firm Value: External ESG Evaluation and the Role of Advertising Intensity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines whether sustainability reporting becomes relevant to firm value partly through externally evaluated ESG performance and whether this process varies with firms' communication environments. Using firm‐year data on Korean listed firms from 2019 to 2021, we estimate regression models with year and industry fixed effects and ...
Jaehyun Park, Hyuk Kwon
wiley   +1 more source

Testing for differentially-expressed microRNAs with errors-in-variables nonparametric regression. [PDF]

PLoS One, 2012
Wang B, Zhang SG, Wang XF, Tan M, Xi Y.
europepmc   +1 more source

Comparison of Dried Blood Spot Sampling Methods for RNA‐Based Biomarker Measurement in Anti‐Doping

Drug Testing and Analysis, EarlyView.
This study demonstrates that RNA‐based biomarkers of erythropoiesis, ALAS2 and CA1, can be reliably quantified across commonly used DBS sampling matrices, including venous and capillary blood spotted on cellulose cards and the Tasso‐M20 device. ABSTRACT Dried blood spot (DBS) sampling offers logistical advantages, but it remains unexplored whether ...
Jacob Bejder, Corentin Schlechten, Claudia Mumenthaler, Olivier Salamin, Tiia Kuuranne, Thomas Christian Bonne, Jonathan Graae, Henrik Sørensen, Nikolai B. Nordsborg, Nicolas Leuenberger   +9 more
wiley   +1 more source

Estimating the Expected Value of Sample Information Using the Probabilistic Sensitivity Analysis Sample: A Fast, Nonparametric Regression-Based Method. [PDF]

Med Decis Making, 2015
Strong M, Oakley JE, Brennan A, Breeze P.   +3 more
europepmc   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

Deep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source