Results 91 to 100 of about 1,022,045 (334)
Arthritis Care &Research, EarlyView.Objective We aimed to assess whether high‐sensitivity C‐reactive protein (hsCRP) levels could predict the development of psoriatic arthritis (PsA) in patients with psoriasis. Methods We analyzed data from a prospective cohort of patients with psoriasis without PsA at enrollment.
Lihi Eder +5 more
wiley +1 more source
, 2016 We propose new summary statistics to quantify the association between the components in coverage-reweighted moment stationary multivariate random sets and measures.
van Lieshout, M. N. M.
core
Robust Statistics for Multivariate Methods
SSRN Electronic Journal, 2005 Robust statistics, as a concept, probably dates back to the prehistory of statistics. It has, however, been formalized in the sixties by the pioneering work of Huber and Hampel. Robust statistics is an extension of classical statistics, which takes into account the fact that models assumed to have generated the data at hand are only approximate.
openaire +4 more sources
Arthritis Care &Research, EarlyView.Objective The objective of this study was to evaluate and compare the risk of hepatotoxicity associated with the use of febuxostat and benzbromarone in patients with gout. Methods New users of febuxostat or benzbromarone with monitoring of liver function at least three times in a year after initiation of the study drugs were identified from an ...
Wenyan Sun +8 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objective Lupus low disease activity state (LLDAS) is a validated treatment target in systemic lupus erythematosus (SLE) but limited studies have explored the role of LLDAS in lupus nephritis (LN). This study aims to investigate the frequency and predictors of LLDAS attainment, and its benefit on LN relapse and renal function preservation in patients ...
Chak Kwan Cheung +6 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao +5 more
wiley +1 more source
Revista Ambiente & Água, 2019 Changes in land use and land cover in watersheds, together with population increases and urbanization of these areas, have caused negative impacts on surface water quality.
Laura Pereira do Nascimento +3 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.AIMSPec‐LoC is a novel lab‐on‐a‐chip platform integrating size‐based extracellular vesicle (EVs) separation with label‐free Raman spectroscopy and AI‐powered classification via SKiNET. This high‐throughput, portable system enables real‐time, multiplexed molecular fingerprinting of EVs from biofluids, offering transformative potential for early, non ...
Emma Buchan +3 more
wiley +1 more source
An Answer to Multiple Problems with Analysis of Data on Harms?
, 2012 Discussion of "Multivariate Bayesian Logistic Regression for Analysis of Clinical Trial Safety Issues" by W. DuMouchel [arXiv:1210.0385].Comment: Published in at http://dx.doi.org/10.1214/12-STS381C the Statistical Science (http://www.imstat.org/sts ...
Evans, Stephen
core +1 more source
Differential Phase Contrast Imaging to Predict MSC Immune Function
Advanced Healthcare Materials, EarlyView.This work employs quantitative differential phase contrast (qDPC) imaging technique to non‐invasively extract morphological features from live Mesenchymal Stromal Cells (MSCs) for single cell prediction on cell immunomodulatory capacity. This work establishes a foundation for scalable, non‐destructive monitoring of MSCs immunomodulatory capacity ...
Kejie Rui +5 more
wiley +1 more source