Surveys

The Impact of Model Parameterization and Estimation Methods on Tests of Measurement Invariance With Ordered Polytomous Data.

Evaluations of measurement invariance provide essential construct validity evidence-a prerequisite for seeking meaning in psychological and educational research and ensuring fair testing procedures in high-stakes settings. However, the quality of such evidence is partly dependent on the validity of the resulting statistical conclusions. Type I or Type II errors can render measurement invariance co...

Optimizing Variance-Bias Trade-off in the TWANG Package for Estimation of Propensity Scores.

While propensity score weighting has been shown to reduce bias in treatment effect estimation when selection bias is present, it has also been shown that such weighting can perform poorly if the estimated propensity score weights are highly variable. Various approaches have been proposed which can reduce the variability of the weights and the risk of poor performance, particularly those based on m...

Identifying Key Symptoms Differentiating Myalgic Encephalomyelitis and Chronic Fatigue Syndrome from Multiple Sclerosis.

It is unclear what key symptoms differentiate Myalgic Encephalomyelitis (ME) and Chronic Fatigue syndrome (CFS) from Multiple Sclerosis (MS). The curr...

Plasma Transfusion in Patients With Cirrhosis in China: A Retrospective Multicenter Cohort Study.

Patients with cirrhosis used to be associated with frequent use of blood components because of their complex disorder of hemostasis and bleeding compl...

Tackling Missing Data in Community Health Studies Using Additive LS-SVM Classifier.

Missing data is a common issue in community health and epidemiological studies. Direct removal of samples with missing data can lead to reduced sample...

HIV-Associated Facial Lipodystrophy: Experience of a Tertiary Referral Center With Fat and Dermis-Fat Compound Graft Transfer.

HIV-associated lipodystrophy is a common comorbidity in HIV-infected patients, having a profound impact on every aspect of patients' lives, particula...

Introducing a Stable Bootstrap Validation Framework for Reliable Genomic Signature Extraction.

The application of machine learning methods for the identification of candidate genes responsible for phenotypes of interest, such as cancer, is a maj...

A Self-Adaptive Fuzzy -Means Algorithm for Determining the Optimal Number of Clusters.

For the shortcoming of fuzzy -means algorithm (FCM) needing to know the number of clusters in advance, this paper proposed a new self-adaptive method ...

A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback.

This publication presents a complete description of a technological solution system for the physical and cognitive rehabilitation of elderly people th...

Preschoolers Flexibly Adapt to Linguistic Input in a Noisy Channel.

Because linguistic communication is inherently noisy and uncertain, adult language comprehenders integrate bottom-up cues from speech perception with ...

Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation.

Precise definition of the mitral valve plane (VP) during segmentation of the left ventricle for SPECT myocardial perfusion imaging (MPI) quantificatio...

Wearable monitors criterion validity for energy expenditure in sedentary and light activities.

BACKGROUND: Wearable monitors (WMs) are used to estimate the time spent in sedentary behaviors (SBs) and light-intensity physical activities (LPAs) an...

Developing new VOmax prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection.

Maximal oxygen uptake (VOmax) is an essential part of health and physical fitness, and refers to the highest rate of oxygen consumption an individual ...

Believing androids - fMRI activation in the right temporo-parietal junction is modulated by ascribing intentions to non-human agents.

Attributing mind to interaction partners has been shown to increase the social relevance we ascribe to others' actions and to modulate the amount of a...

PLS-LS-SVM based modeling of ATR-IR as a robust method in detection and qualification of alprazolam.

According to the United States pharmacopeia (USP), Gold standard technique for Alprazolam determination in dosage forms is HPLC, an expensive and time...

Machine Learned Replacement of N-Labels for Basecalled Sequences in DNA Barcoding.

This study presents a machine learning method that increases the number of identified bases in Sanger Sequencing. The system post-processes a KB basec...

Robot-aided assessment of lower extremity functions: a review.

The assessment of sensorimotor functions is extremely important to understand the health status of a patient and its change over time. Assessments are...

Valid Probabilistic Predictions for Ginseng with Venn Machines Using Electronic Nose.

In the application of electronic noses (E-noses), probabilistic prediction is a good way to estimate how confident we are about our prediction. In thi...

Non-Hermitian localization in biological networks.

We explore the spectra and localization properties of the N-site banded one-dimensional non-Hermitian random matrices that arise naturally in sparse n...

Initial investigation into computer scoring of candidate essays for personnel selection.

[Correction Notice: An Erratum for this article was reported in Vol 101(7) of Journal of Applied Psychology (see record 2016-32115-001). In the articl...