Results 91 to 100 of about 3,128,130 (383)
Multilevel data occur frequently in many research areas like health services research and epidemiology. A suitable way to analyze such data is through the use of multilevel regression models.
P. Austin+3 more
semanticscholar +1 more source
Upper Limb Motor Function Rehabilitation System Leveraging Pressure‐Sensitive Intent Recognition
A novel upper limb rehabilitation system for stroke patients combines liquid metal elastomer sensors with functional electrical stimulation (FES). By automatically adjusting stimulation intensity based on real‐time muscle force signals, the system enhances wrist movement capability (14° to 47° elevation) and aids neural recovery through heightened ...
Zhiwei Hu+9 more
wiley +1 more source
Single‐Droplet Dual‐Target Quantification of circRNA Biomarkers for Colorectal Cancer Screening
Circular RNAs are crucial in tumorigenesis. This study identifies circCK1γ3 and circWDR37 as dual plasma biomarkers for colorectal cancer (CRC) screening. It is developed Casµchip, a droplet microfluidic chip using Cas13a/b technology to quantify these biomarkers.
Jingsong Xu+11 more
wiley +1 more source
Background Cross-sectional studies with binary outcomes analyzed by logistic regression are frequent in the epidemiological literature. However, the odds ratio can importantly overestimate the prevalence ratio, the measure of choice in these studies ...
Hirakata Vânia N, Barros Aluísio JD
doaj +1 more source
Simulated Data to Estimate Real Sensor Events—A Poisson-Regression-Based Modelling
Automatic detection and recognition of Activities of Daily Living (ADL) are crucial for providing effective care to frail older adults living alone.
Miguel Angel Ortíz-Barrios+5 more
doaj +1 more source
Structural modification of clofoctol yielded a novel blood‐brain barrier‐permeable compound, B7, featuring a multi‐substituted diaryl scaffold. B7 demonstrates potent anti‐glioblastoma activity by suppressing glioblastoma stem cells proliferation, migration, and invasion through interactions with five key residues of poliovirus receptor cell adhesion ...
Yong‐jian Wang+9 more
wiley +1 more source
BAYESIAN MULTIVARIATE POISSON REGRESSION
The paper proposes a regression model for the multivariate Poisson distribution. So far inference in multivariate Poisson distributions has been prevented by the fact that computation of the probability mass function is difficult. Bayesian methods of inference are proposed which are organized around computational methods based on Gibbs sampling with ...
openaire +3 more sources
A semi-nonparametric Poisson regression model for analyzing motor vehicle crash data
This paper develops a semi-nonparametric Poisson regression model to analyze motor vehicle crash frequency data collected from rural multilane highway segments in California, US.
X. Ye, Ke Wang, Y. Zou, D. Lord
semanticscholar +1 more source
Wide Linearity Range and Rapid‐Response Tactile Sensor Inspired by Parallel Structures
Inspired by parallel structures, a composite tactile sensor design is proposed using parallel elastomer integration, developing two novel sensors. This strategy optimizes the force‐electric response and viscoelastic hysteresis of the conductive composite, achieving a balanced enhancement of linear sensing range and fast response.
Weihua Gao+7 more
wiley +1 more source
Simulation Study of Bayesian Zero Inflated Poisson Regression
Bayesian merupakan salah satu metode estimasi parameter yang dapat diaplikasikan pada ukuran sampel yang kecil. Zero Inflated Poisson merupakan salah satu metode untuk menganalisis data Poisson yang mengalami overdispersion.
Candra Rezzing Weni Utomo+2 more
doaj +1 more source