Results 191 to 200 of about 29,007 (279)

Modified partial least square structural equation model with multivariate adaptive regression spline: Parameter estimation technique and applications. [PDF]

MethodsX
Dukalang HH, Otok BW, Purhadi.
europepmc   +1 more source

Modeling of Disease Progression of Type 2 Diabetes Using Real‐World Data: Quantifying Competing Risks of Morbidity and Mortality

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 606-615, March 2025.
ABSTRACT Type 2 diabetes (T2D) is a progressive metabolic disorder that could be an underlying cause of long‐term complications that increase mortality. The assessment of the probability of such events could be essential for mortality risk management. This work aimed to establish a framework for risk predictions of macrovascular complications (MVC) and
Hanna Kunina, Stefan Franzén, Maria C. Kjellsson   +2 more
wiley   +1 more source

Association between Geriatric Nutritional Risk Index (GNRI) and all-cause mortality in centenarians, with a focus on nonlinear and threshold effects: a multi-method observational study. [PDF]

Front Nutr
Liu X, Tang Y, Wang X, Xie R, Huang Y, Zhu Q, Zheng X.   +6 more
europepmc   +1 more source

The non‐hydrostatic option of the ECMWF global weather forecast model: Improvements for kilometre‐scale modelling

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents improvements to the non‐hydrostatic version of the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), enabling stable global simulations at 1.4‐km resolution. A systematic comparison with the hydrostatic version at resolutions from 9 to 1.4 km shows that non‐hydrostatic effects emerge in ...
Jozef Vivoda, Inna Polichtchouk, Michail Diamantakis, Filip Váňa   +3 more
wiley   +1 more source

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source

Functional quantile principal component analysis. [PDF]

Biostatistics
Méndez-Civieta Á, Wei Y, Diaz KM, Goldsmith J.   +3 more
europepmc   +1 more source

Bivariate postprocessing of wind vectors

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner, David Jobst, Annette Möller, Claudia Czado   +3 more
wiley   +1 more source

Methodological Challenges of Emulating a Target Trial to Assess Effectiveness of Timing of PCSK9 Inhibitor Treatment Initiation Post Myocardial Infarction. [PDF]

Pharmacoepidemiol Drug Saf
Cars T, Gustafsson S, Chan Q, Dhalwani N, Kent ST, Briggs A, Gale CP, Gitt A, Jukema JW, Steg PG, Sundström J, James S, Hagström E, Brookhart MA.   +13 more
europepmc   +1 more source

Predicting Failure at Initiation of High‐Flow Nasal Oxygen in Patients With COVID‐19: Literature Review, Development and Internal Validation of a Prediction Model

Respirology, EarlyView.
A prediction model was developed for high‐flow nasal oxygen (HFNO) failure in acute hypoxemic patients with COVID‐19 pneumonia using predictors available prior to HFNO initiation. This stable and good‐performing model can assist in clinical decision‐making at a critical point, aiding timely intervention for patients at risk of HFNO failure.
Daphne J. T. Sjauw, Matthijs L. Janssen, Yasemin Türk, Carmen A. T. Reep, Leo Heunks, Sara J. Baart, Evert‐Jan Wils, on behalf of the Dutch HFNO study group, NORMO2 project group, E. J. Wils, H. Endeman, W. Hanselaar, M. L. Janssen, Y. Türk, R. A. S. Hoek, R. Heller, D. P. Boer, J. H. Elderman, A. Dubois, O. Hoiting, J. Holters, M. vd Steen‐Dieperink, L. Heunks, E. J. Wils, S. J. Baart, M. L. Duiverman, L. M. Fleuren, L. C. Urlings‐Strop, J. G. van den Aardweg, D. Weller, C. A. T. Reep, D. J. T. Sjauw   +31 more
wiley   +1 more source

Differentiating Creatine and Phosphocreatine In Vivo Using 3 T ¹H MR Spectroscopy. [PDF]

Magn Reson Med
Hurd RE, Gu M, Adamson PM, Okamura K, Shibata M, Ono Y, Haidar M, Riemer K, Hanley FL, Spielman DM.   +9 more
europepmc   +1 more source