Catheterization and Cardiovascular Interventions, EarlyView.ABSTRACT Background Left atrial appendage occlusion (LAAO) has become a valuable alternative to long‐term anticoagulation for stroke prevention in patients with non‐valvular atrial fibrillation (AF), especially in those at high bleeding risk. Hypoattenuated thickening (HAT) and device‐related thrombus (DRT) remain notable postprocedural concerns ...
Pierre Guilleminot +7 more
wiley +1 more source
Bayesian Nonparametric Estimation for Dynamic Treatment Regimes with Sequential Transition Times. [PDF]
J Am Stat Assoc, 2016 Xu Y, Müller P, Wahed AS, Thall PF.
europepmc +1 more source
Clinical Impact of Angiographic Complications Occurring During Percutaneous Coronary Interventions
Catheterization and Cardiovascular Interventions, EarlyView.ABSTRACT Background The clinical impact of different types of angiographic complications during elective PCIs remains largely unexplored. Aims To explore the incidence, management, and outcomes of angiographic complications by type and severity during non‐urgent, non‐CTO PCIs. Methods Clinical and procedural characteristics were prospectively collected
Emiliano Bianchini +16 more
wiley +1 more source
Bayesian nonparametric estimation of EQ-5D utilities for United States using the existing United Kingdom data. [PDF]
Health Qual Life Outcomes, 2017 Kharroubi SA.
europepmc +1 more source
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches
Chemistry – A European Journal, EarlyView.ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain +3 more
wiley +1 more source
Adaptive Particle Filter for Nonparametric Estimation with Measurement Uncertainty in Wireless Sensor Networks. [PDF]
Sensors (Basel), 2016 Li X, Zhao Y, Zhang S, Fan X.
europepmc +1 more source
Rank‐based estimation of propensity score weights via subclassification
Canadian Journal of Statistics, EarlyView.Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang +3 more
wiley +1 more source
Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP
Canadian Journal of Statistics, EarlyView.Abstract Epigenetic modifications link the environment to gene expression and play a crucial role in tumour development. DNA methylation, in particular, is gaining attention in cancer research, including cervical cancer, the focus of this study.
Hang Zhang +5 more
wiley +1 more source
Partial identification with categorical data and nonignorable missing outcomes
Canadian Journal of Statistics, EarlyView.Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
Nonparametric estimation with recurrent competing risks data. [PDF]
Lifetime Data Anal, 2014 Taylor LL, Peña EA.
europepmc +1 more source