Results 81 to 90 of about 617,011 (320)

Active Seizures Predict Worse Instrumental Activities of Daily Living in Individuals With Normal Cognition and Dementia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Cognitive disorders are common in older persons with seizures (PWS). Cognitive disorders are often associated with impaired Instrumental Activities of Daily Living (IADLs). However, the effects of seizures on IADLs remain unexplored.
Ifrah Zawar   +5 more
wiley   +1 more source

Privacy-protecting estimation of adjusted risk ratios using modified Poisson regression in multi-center studies

open access: yesBMC Medical Research Methodology, 2019
Background Multi-center studies can generate robust and generalizable evidence, but privacy considerations and legal restrictions often make it challenging or impossible to pool individual-level data across data-contributing sites.
Di Shu, Jessica G. Young, Sengwee Toh
doaj   +1 more source

The MSA Atrophy Index (MSA‐AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

Robust Learning from Bites [PDF]

open access: yes
Many robust statistical procedures have two drawbacks. Firstly, they are computer-intensive such that they can hardly be used for massive data sets. Secondly, robust confidence intervals for the estimated parameters or robust predictions according to the
Christmann, Andreas
core  

Scale-insensitive estimation of speed and distance traveled from animal tracking data

open access: yesMovement Ecology, 2019
Background Speed and distance traveled provide quantifiable links between behavior and energetics, and are among the metrics most routinely estimated from animal tracking data. Researchers typically sum over the straight-line displacements (SLDs) between
Michael J. Noonan   +7 more
doaj   +1 more source

Cervical Spinal Cord Magnetization Transfer Ratio and Its Relationship With Clinical Outcomes in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The cervical spinal cord (cSC) is highly relevant to clinical dysfunction in multiple sclerosis (MS) but remains understudied using quantitative magnetic resonance imaging (MRI). We assessed magnetization transfer ratio (MTR), a semi‐quantitative MRI measure sensitive to MS‐related tissue microstructural changes, in the cSC and its ...
Lisa Eunyoung Lee   +26 more
wiley   +1 more source

Classical and modified rescaled range analysis: Sampling properties under heavy tails [PDF]

open access: yes
Mostly used estimators of Hurst exponent for detection of long-range dependence are biased by presence of short-range dependence in the underlying time series. We present confidence intervals estimates for rescaled range and modified rescaled range.
Ladislav Kristoufek
core   +1 more source

Classical and modified rescaled range analysis: Sampling properties under heavy tails [PDF]

open access: yes, 2009
Mostly used estimators of Hurst exponent for detection of long-range dependence are biased by presence of short-range dependence in the underlying time series. We present confidence intervals estimates for rescaled range and modified rescaled range.
Krištoufek, Ladislav
core  

Can the box plot be improved? [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2005
Invented by Spear in 1952 and popularized by Tukey in 1977, the box plot is widely used for displaying and comparing samples of continuous observations.
Chamnein Choonpradub, Don McNeil
doaj  

Robust Offline Reinforcement Learning -- Certify the Confidence Interval

open access: yes, 2023
Currently, reinforcement learning (RL), especially deep RL, has received more and more attention in the research area. However, the security of RL has been an obvious problem due to the attack manners becoming mature. In order to defend against such adversarial attacks, several practical approaches are developed, such as adversarial training, data ...
Yao, Jiarui, Du, Simon Shaolei
openaire   +2 more sources

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