Results 271 to 280 of about 1,576,634 (357)

An MRI assessment of mechanisms underlying lesion growth and shrinkage in multiple sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
By applying the tensor model, we analysed lesion orientation and the directionality of lesion expansion/contraction in multiple sclerosis. Each lesion is summarized as an ellipsoid, and the tensor model is applied to calculate lesion anisotropy. From the top to the bottom white matter atlas, surface‐in gradient segmentation and venous atlas used in the
Ermelinda De Meo, Ferran Prados Carrasco, J. William L. Brown, Alasdair J. Coles, Nick G. Cunniffe, Amy E. Jolly, Baris Kanber, Rebecca Samson, Frederik Barkhof, Declan Chard   +9 more
wiley   +1 more source

Handling rescue therapy in myasthenia gravis clinical trials: why it matters and why you should care

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Myasthenia gravis (MG) clinical trials typically allow rescue therapy during follow‐up in the event of marked worsening of MG symptoms. Failure to appropriately address rescue therapy in defining treatment effects and planning statistical analyses may yield biased estimates, increase false positive rates, or decrease statistical power – all of
Justin M. Leach, Inmaculada Aban, Gary Cutter, Michael Benatar   +3 more
wiley   +1 more source

ALS plasma biomarkers reveal neurofilament and pTau correlate with disease onset and progression

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objective We performed a pilot screen to assess the utility of the NULISA™ (Nucleic‐acid‐Linked Immuno‐Sandwich Assay) platform in the identification of amyotrophic lateral sclerosis (ALS) biomarkers. Methods Plasma from 86 individuals (48 ALS, 18 asymptomatic C9orf72 repeat expansion carriers (AsymC9), and 20 healthy controls) was analyzed ...
Eleanor V. Thomas, Changee Han, Woo Jae Kim, Seneshaw Asress, Yingjie Li, Jennifer A. Taylor, Marla Gearing, Christina N. Fournier, Zachary T. McEachin, Nicholas T. Seyfried, Jonathan D. Glass   +10 more
wiley   +1 more source

Amygdala Neurodegeneration: A Key Driver of Visual Dysfunction in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Visual disability in Parkinson's disease (PD) is not fully explained by retinal neurodegeneration. We aimed to delineate the brain substrate of visual dysfunction in PD and its association with retinal thickness. Methods Forty‐two PD patients and 29 controls underwent 3‐Tesla MRI, retinal spectral‐domain optical coherence tomography,
Asier Erramuzpe, Ane Murueta‐Goyena, Antonio Jimenez‐Marin, Marian Acera, Sara Teijeira‐Portas, Rocío Del Pino, Tamara Fernández‐Valle, Ibai Diez, Unai Sainz‐Lugarezaresti, Naroa Ibarretxe‐Bilbao, Unai Ayala, Maitane Barrenechea, Alberto Cabrera‐Zubizarreta, Jesús Cortés, Juan Carlos Gómez‐Esteban, Iñigo Gabilondo   +15 more
wiley   +1 more source

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Cox Proportional Hazards Regression Model

2001
The Cox proportional hazards model 132 is the most popular model for the analysis of survival data. It is a semiparametric model; it makes a parametric assumption concerning the effect of the predictors on the hazard function, but makes no assumption regarding the nature of the hazard function λ(t) itself.
F. Harrell
openaire   +3 more sources

Proportional hazards model

2018
David Cox, D. Oakes
openaire   +3 more sources

Reliability assessment for systems suffering common cause failure based on Bayesian networks and proportional hazards model

Quality and Reliability Engineering International, 2020
The Bayesian network (BN) is an efficient tool for probabilistic modeling and causal inference, and it has gained considerable attentions in the field of reliability assessment.
Yanfeng Li, Yang Liu, Tudi Huang, Hongzhong Huang, J. Mi   +4 more
semanticscholar   +1 more source

A Proportional Hazards Model for the Subdistribution of a Competing Risk

, 1999
With explanatory covariates, the standard analysis for competing risks data involves modeling the cause-specific hazard functions via a proportional hazards assumption.
J. Fine, R. Gray
semanticscholar   +1 more source

The Robust Inference for the Cox Proportional Hazards Model

, 1989
We derive the asymptotic distribution of the maximum partial likelihood estimator β for the vector of regression coefficients β under a possibly misspecified Cox proportional hazards model.
D. Lin, L. J. Wei
semanticscholar   +1 more source