Results 81 to 90 of about 666,183 (322)

Characteristics of Cerebral Palsy in the Midwestern US

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebral palsy (CP) is the most common lifelong motor disability worldwide. Yet, data is limited on how CP manifests in the US. Our objective was to characterize and determine factors affecting functional outcomes in a large population of young people with CP in the Midwestern US.
Susie Kim, Kelsey Steffen, Lauren Gottschalk‐Henneberry, Jennifer Miros, Amy Robichaux‐Viehoever, Karen Taca, Bhooma R. Aravamuthan   +6 more
wiley   +1 more source

Confidence intervals for average success probabilities [PDF]

, 2014
We provide Buehler-optimal one-sided and some valid two-sided confidence intervals for the average success probability of a possibly inhomogeneous fixed length Bernoulli chain, based on the number of observed successes.
Mattner, Lutz, Tasto, Christoph
core  

Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs

, 2020
Modern empirical work in Regression Discontinuity (RD) designs often employs local polynomial estimation and inference with a mean square error (MSE) optimal bandwidth choice.
Calonico, Sebastian, Cattaneo, Matias D., Farrell, Max H.   +2 more
core   +1 more source

Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham, Sahana Sathyanarayana, Charlotte B. Stewart, Robyn Iredale, Victoria Foster, Debra Galley, Mark Baker, Nicola Pavese   +7 more
wiley   +1 more source

Adaptive Robust Confidence Intervals

This paper studies the construction of adaptive confidence intervals under Huber's contamination model when the contamination proportion is unknown. For the robust confidence interval of a Gaussian mean, we show that the optimal length of an adaptive interval must be exponentially wider than that of a non-adaptive one.
Luo, Yuetian, Gao, Chao
openaire   +2 more sources

On Confidence Intervals of Robust Regression Estimators

Korean Journal of Applied Statistics, 2006
Since it is well-established that even high quality data tend to contain outliers, one would expect fat? greater reliance on robust regression techniques than is actually observed. But most of all robust regression estimators suffers from the computational difficulties and the lower efficiency than the least squares under the normal error model.
openaire   +2 more sources

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon, Nathalie Picard, Valeria d'Andrea, Enchi Chang, Joseph Leffler, Eleonora Centofante, Matthew Taylor, Francesca Bardi, Francesca Cavicchiolo, Takao K. Hensch, Stefano Panzeri, Chinfei Chen, Michela Fagiolini   +12 more
wiley   +1 more source

The Impact of Tilburg Frailty on Poststroke Fatigue in First‐Ever Stroke Patients: A Cross‐Sectional Study With Unified Measurement Tools and Improved Statistics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen, Xiao‐Xue Wang, Shao‐Rui Bao, Sui‐Li Lin, Mei‐Chun Shu, Xi‐Xi Ye, Wen‐Jie Cong   +6 more
wiley   +1 more source

On Measuring Large Language Models Performance with Inferential Statistics

Information
Measuring the reliability of performance evaluations is particularly important when we evaluate non-deterministic models. This is the case of using large language models (LLMs) in classification tasks, where different runs generate different outputs ...
Jesús M. Fraile-Hernández, Anselmo Peñas   +1 more
doaj   +1 more source

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

, 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