Results 81 to 90 of about 3,064,262 (335)

Functional linear regression analysis for longitudinal data

open access: yes, 2006
We propose nonparametric methods for functional linear regression which are designed for sparse longitudinal data, where both the predictor and response are functions of a covariate such as time.
Müller, Hans-Georg   +2 more
core   +1 more source

Long‐Term Temporal Profile of Motor Recovery After Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Limited data is available to describe the temporal profile of long‐term recovery over 1 year after the stroke in patients with spontaneous intracerebral hemorrhage (ICH). Methods A registered multicentral cohort was conducted to consecutively include non‐herniated supratentorial ICH patients from November 2013 to January 2023 ...
Yan Zheng   +24 more
wiley   +1 more source

Efficacy of vocational education: a longitudinal analysis

open access: yesEconomia Aplicada, 2020
The impact of vocational schools on student’s performance is controversial in the world literature. Thus, this paper contributes to such debate by evaluating the performance of Vocational Education State School (VESS) students on secondary education ...
Ronaldo de Albuquerque e Arraes   +1 more
doaj  

Durable B‐Cell Impairment While Sparing IgA B Cells After Ocrelizumab Therapy in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Ocrelizumab (OCR), a humanized anti‐CD20 monoclonal antibody, is highly efficient in relapsing–remitting multiple sclerosis (RR‐MS). We assessed early cellular B‐cell profiles in patients prior to OCR treatment, on OCR treatment, and after 15 months of therapy discontinuation.
Alexandra Garcia   +20 more
wiley   +1 more source

Multimodal Autonomic Biomarkers Predict Phenoconversion in Pure Autonomic Failure

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Pure autonomic failure (PAF) presents with autonomic failure without other neurological features. A third develop central neurological features, fulfilling criteria for multiple system atrophy (MSA) and Lewy body diseases (LBD), including Parkinson's disease and Dementia with Lewy bodies.
S. Koay   +12 more
wiley   +1 more source

Exploring if Longitudinal Changes on PET Imaging Can Serve as a Biomarker for Stiff Person Syndrome Spectrum Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify metabolic patterns in the brain and musculoskeletal system of stiff person syndrome spectrum disorders (SPSD) patients over time using PET imaging and evaluate the impact of immune therapy on metabolic activity as a surrogate for treatment response.
Munther M. Queisi   +4 more
wiley   +1 more source

Attrition in longitudinal household survey data [PDF]

open access: yes
Longitudinal household data can have considerable advantages over much more widely used cross-sectional data. The collection of longitudinal data, however, may be difficult and expensive.
Alderman, Harold   +4 more
core  

Longitudinal Data Are Needed [PDF]

open access: yesDeutsches Ärzteblatt international, 2016
Peter Morfeld   +4 more
openaire   +3 more sources

NOTCH2NLC Repeat Expansions in Parkinsonian Disorders: Clinical and Neuroimaging Characteristics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuronal intranuclear inclusion disease (NIID) is a neurodegenerative disorder caused by NOTCH2NLC GGC repeat expansions, with heterogeneous clinical manifestations, including parkinsonism. Recent studies have identified NOTCH2NLC repeat expansions in patients with Parkinson's disease (PD) and atypical parkinsonism (aPM), suggesting ...
Han‐Lin Chiang   +7 more
wiley   +1 more source

jmcm: An R Package for Joint Mean-Covariance Modeling of Longitudinal Data

open access: yesJournal of Statistical Software, 2017
Longitudinal studies commonly arise in various fields such as psychology, social science, economics and medical research, etc. It is of great importance to understand the dynamics in the mean function, covariance and/or correlation matrices of repeated ...
Jianxin Pan, Yi Pan
doaj   +1 more source

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