Results 171 to 180 of about 4,373,274 (284)
Bivariate variable ranking for censored time‐to‐event data via Copula link based additive models
Abstract In this article, we present a variable ranking approach based on a novel measure for selecting important variables in bivariate Copula Link‐Based Additive Models [30]. The proposal allows for identifying two sets of relevant covariates for the two time‐to‐events without neglecting the dependency structure that may exist between the two ...
Danilo Petti +2 more
wiley +1 more source
A Narrative Review on In-Hospital Alarm Fatigue and Telemetry Monitoring Failure: Epidemiology and a Safer Telemetry Framework Model Proposal. [PDF]
Shah J, Senapati S.
europepmc +1 more source
Confidence Regions with Nuisance Parameters
openaire +1 more source
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
Comparison of deep learning and particle smoother EM methods for estimation of Rb-82 myocardial perfusion PET kinetic parameters. [PDF]
Chin M, Zou SJ, Chinn G, Levin CS.
europepmc +1 more source
Circulant Matrix‐Based Box–Behnken Designs With Economic Run Sizes
ABSTRACT We introduce Circulant Matrix‐Based Box–Behnken Designs (CBBDs), a new class of three‐level, second‐order response surface designs constructed using circulant matrix structures. These designs satisfy an enhanced orthogonal minimally aliased (OMA∗${\rm OMA}^*$) property: they retain the classical OMA property—where main effects are orthogonal ...
Tung‐Dinh Pham, Nam‐Ky Nguyen
wiley +1 more source
Profile Likelihood and Baseline Sensitivity Diagnostics for Digitized Radiation Sensor Decay Datasets. [PDF]
Golovko VV.
europepmc +1 more source
Abstract Bayesian inference methods such as Markov Chain Monte Carlo (MCMC) typically require repeated computations of the likelihood function, but in some scenarios, this is infeasible and alternative methods are needed. Simulation‐based inference methods address this problem by using machine learning to amortize computations.
L. M. Wolniewicz, P. Sadowski, C. Corti
wiley +1 more source
Deep learning for assay nuisance compound detection using a gated co-attention graph embedding model (CAGE-Fusion). [PDF]
Rath S +4 more
europepmc +1 more source
Objectives To evaluate ex vivo fluorescence confocal microscopy (FCM) for immediate detrusor muscle (DM) assessment during primary transurethral resection of bladder tumour (TURBT). Patients and Methods This prospective, blinded, paired‐cohort feasibility study enrolled consecutive patients undergoing primary TURBT for suspected non‐muscle‐invasive ...
Martin J. Connor +20 more
wiley +1 more source

