Results 151 to 160 of about 1,083,058 (217)
Probabilistic analysis of active earth pressures in spatially variable soils using machine learning and confidence intervals. [PDF]
Vu-Hoang T +4 more
europepmc +1 more source
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
p-Values and confidence intervals as compatibility measures: guidelines for interpreting statistical studies in clinical research. [PDF]
Rovetta A, Piretta L, Mansournia MA.
europepmc +1 more source
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk +10 more
wiley +1 more source
Confidence intervals and test of significance
Ajay Kumar M
doaj
Inference procedures in sequential trial emulation with survival outcomes: Comparing confidence intervals based on the sandwich variance estimator, bootstrap and jackknife. [PDF]
Limozin JM, Seaman SR, Su L.
europepmc +1 more source
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan +5 more
wiley +1 more source
Inverse set estimation and inversion of simultaneous confidence intervals. [PDF]
Ren J, Telschow FJE, Schwartzman A.
europepmc +1 more source
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source
How to read P-values and confidence intervals in public health studies. [PDF]
Rovetta A +3 more
europepmc +1 more source

