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The effect of misclassification on sample size for one and two-sample tests with binary endpoints.
J Biopharm Stat
December 2024
Department of Biostatistics, University of Veterinary Medicine Budapest, Budapest, Hungary.
In recent years, an increasing number of publications on the analysis of binary data have applied methods that take misclassification into account. However, potential misclassification is often ignored in study design due to the lack of sample size formulas or software. This may lead to a considerable loss of power in studies that only account for misclassification at the analysis stage.
View Article and Find Full Text PDFCase report: Receptive labeling training in autism: conventional vs. technology-based approaches? a single case study.
Front Psychiatry
December 2024
Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Background: Receptive language, the ability to comprehend and respond to spoken language, poses significant challenges for individuals with Autism Spectrum Disorder (ASD). To support communication in autistic children, interventions like Lovaas' simple-conditional method and Green's conditional-only method are commonly employed. Personalized approaches are essential due to the spectrum nature of autism.
View Article and Find Full Text PDFPredicting RNA Structure and Dynamics with Deep Learning and Solution Scattering.
Biophys J
December 2024
School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel. Electronic address:
Advanced deep learning and statistical methods can predict structural models for RNA molecules. However, RNAs are flexible, and it remains difficult to describe their macromolecular conformations in solutions where varying conditions can induce conformational changes. Small-angle X-ray scattering (SAXS) in solution is an efficient technique to validate structural predictions by comparing the experimental SAXS profile with those calculated from predicted structures.
View Article and Find Full Text PDFVoice Handicap Index-Throat: Translation and Cross-Cultural Adaptation to the Arabic Language.
J Voice
December 2024
Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Università degli Studi di Brescia, Brescia, Italy; Unit of Otorhinolaryngology, Head and Neck Surgery, Azienda Socio Sanitaria Territoriale Spedali Civili Di Brescia, Brescia, Italy.
Objectives: This study aims to validate and assess the reliability of the Arabic version of the Voice Handicap Index-Throat (VHI-T), as a self-reported questionnaire for patients with throat difficulties.
Study Design: A prospective, observational, cross-sectional, and descriptive study was performed in the ear, nose, and throat department of Kafr El-Sheikh University hospitals from October 2023 to July 2024.
Methods: The preliminary VHI-T was obtained through forward and backward translation.
Objective: This study investigated the effect of reliability on the function allocation (FA) boundary by examining the interaction effect of degree of automation (DOA) and reliability on routine performance, failure performance, and attention allocation.
Background: According to the lumberjack effect, an increase in DOA will typically improve routine performance, while failure performance may remain undeteriorated until a specific, high DOA threshold is reached. This threshold can be regarded as the FA boundary.
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