Results 61 to 70 of about 160,280 (251)
Missing Categorical Data Imputation and Individual Observation Level Imputation
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2014 Traditional missing data techniques of imputation schemes focus on prediction of the missing value based on other observed values. In the case of continuous missing data the imputation of missing values often focuses on regression models.
Pavel Zimmermann +2 more
doaj +1 more source
Multinomial probit Bayesian additive regression trees
Stat, 2016 This article proposes multinomial probit Bayesian additive regression trees (MPBART) as a multinomial probit extension of Bayesian additive regression trees. MPBART is flexible to allow inclusion of predictors that describe the observed units as well as the available choice alternatives.
Kindo, Bereket P. +2 more
openaire +3 more sources
Advanced Functional Materials, EarlyView.MagPiezo enables wireless activation of endogenous Piezo1 channels without genetic modification using 19 nm magnetic nanoparticles and low‐intensity magnetic fields. It generates torque forces at the piconewton scale to trigger mechanotransduction in endothelial cells, standing as a novel platform to interrogate and manipulate Piezo1 activity in vitro.
Susel Del Sol‐Fernández +7 more
wiley +1 more source
Walailak Journal of Science and Technology, 2017 Causes of death in Thailand are misreported; about 40 % of deaths have been recorded as “ill-defined”. This study aims to describe statistical methods to correct misreported multinomial outcome by using verbal autopsy (VA) data.
Arinda MA-A-LEE +2 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.This study introduces an innovative approach to treating intervertebral disc degeneration using ultrasound‐triggered in situ hydrogel formation. Proof‐of‐concept experiments using optimized biomaterial and ultrasound parameters demonstrate partial restoration of biomechanical function and successful integration into degenerated disc tissue, offering a ...
Veerle A. Brans +11 more
wiley +1 more source
Maskana, 2018 Call Centers represent worldwide a consolidated industry and one of its activities is the management of collections. The present work proposes a predictive statistical model to increase the probability of phone contactability in the collection management
Adriana Uquillas-Andrade +1 more
doaj +1 more source
BMC Bioinformatics, 2022 Background Breast cancer is one of the most common cancers in women. It is necessary to classify breast cancer subtypes because different subtypes need specific treatment.
Juntao Li, Hongmei Zhang, Fugen Gao
doaj +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Utilizing Multi-level Classification Techniques to Predict Adverse Drug Effects and Reactions [PDF]
, 2019 Multi-class classification models are used to predict categorical response variables with more than two possible outcomes. A collection of multi-class classification techniques such as Multinomial Logistic Regression, Na\ {i}ve Bayes, and Support Vector ...
Puhl, Victoria
core +1 more source
Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.This article demonstrates that encasing a hyperelastic balloon in an inextensible sleeve greatly increases its burst pressure. This simple mechanical behavior can be used to produce an asymmetric inflation‐deflation sequence for coupled balloons with different thicknesses so they could serve as a soft robot's rear and front anchors when driven from a ...
Ifat Gertler, Katherine J. Kuchenbecker
wiley +1 more source