The Diagnostic Value of Visual Evoked Potentials in Chronic Disorders of Consciousness
ABSTRACT Objective In chronic disorders of consciousness (DOCs), the distinction between vegetative state/unresponsive wakefulness syndrome (VS/UWS) and minimally conscious state (MCS) is as crucial as it is challenging. Evoked potentials (EPs) and event‐related potentials (ERPs) are helpful, but some limitations prevent their consistent use in the ...
Letizia Clementi+14 more
wiley +1 more source
Risk factors for the progression from pulmonary tuberculosis to spinal tuberculosis: a logistic regression analysis. [PDF]
Xue D+11 more
europepmc +1 more source
Stage‐Dependent Inhibitory Connectivity in Striatal‐Motor Circuit in Huntington's Disease
ABSTRACT Background Elucidating dysfunctional connectivity patterns among key brain regions in Huntington's disease (HD) underlying progression may have implications for developing treatment and therapeutic evaluation. Objective Explore the relationship between abnormal spontaneous resting‐state activity and atrophy in HD‐specific brain regions and ...
Yinghua Jing+4 more
wiley +1 more source
Hospitalization costs of oral cancer patients in Southeast of China: a quantile regression analysis. [PDF]
Bao X+9 more
europepmc +1 more source
Title VII, Multiple Linear Regression Models, and the Courts: An Analysis
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ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo+11 more
wiley +1 more source
Categorical Data Analysis - Logistic Regression
Shengping Yang, Gilbert Berdine
doaj
A review of survival stacking: a method to cast survival regression analysis as a classification problem. [PDF]
Craig E, Zhong C, Tibshirani R.
europepmc +1 more source
Rumen protein degradation rates estimated by non-linear regression analysis of Michaelis–Menten in vitro data [PDF]
G.A. Broderick, Murray K. Clayton
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