Results 91 to 100 of about 3,064,262 (335)

Central Dysmyelination in SSADH‐Deficient Humans and Mice

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Succinic semialdehyde dehydrogenase deficiency (SSADHD) is an inherited metabolic disorder characterized by an accumulation of γ‐aminobutyric (GABA). In addition to its synaptic role as an inhibitory neurotransmitter, GABA also plays an important role in myelination.
Itay Tokatly Latzer, Henry H. C. Lee, Edward Yang, Cesar Alves, Mariarita Bertoldi, Caitlyn Fung, Spencer V. Steele, Eren Kule, Zijie Jin, Alexander Rotenberg, Jean‐Baptiste Roullet, Phillip L. Pearl   +11 more
wiley   +1 more source

Gender emancipation and its impact on happiness: An examination of the happy wife, happy life formula

Interdisciplinary Journal of Sociality Studies
The adage "happy wife, happy life" implies that women's gender emancipation could contribute to the overall societal quality of life. However, it raises at least two questions: Does advancing women's rights lead to increased happiness for women?
Renier Steyn
doaj   +1 more source

Compensating for Missing Data from Longitudinal Studies Using WinBUGS [PDF]

Missing data is a common problem in survey based research. There are many packages that compensate for missing data but few can easily compensate for missing longitudinal data.
Adrian G. Barnett, Annette J. Dobson, Gita Mishra, Gretchen Carrigan   +3 more
core   +1 more source

Serum Neurofilament Light Chain in Multiple Sclerosis: Superiority of Age‐ and BMI‐Corrected Z Scores/Percentiles Over Absolute Cutoff Values for Prediction of Treatment Response

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Prognostication of disease course and prediction of treatment response in multiple sclerosis is an unmet need. We compared the performance of serum neurofilament light chain Z scores (age‐ and BMI‐adjusted) with absolute concentrations for the prediction of response to disease‐modifying therapy.
Maximilian Einsiedler, Aleksandra Maleska Maceski, Sofia Sandgren, Johanna Oechtering, Sabine Schaedelin, Lisa Hofer, Amar Zadic, Juan Francisco Vilchez Gomez, Lester Melie‐Garcia, Alessandro Cagol, Riccardo Galbusera, Sebastian Finkener, Patrice Lalive, Marjolaine Uginet, Stefanie Müller, Caroline Pot, Amandine Mathias, Renaud Du Pasquier, Robert Hoepner, Andrew Chan, Giulio Disanto, Chiara Zecca, Marcus D’Souza, Lars G. Hemkens, Tobias Derfuss, Özgür Yaldizli, Patrick Roth, Claudio Gobbi, David Brassat, Björn Tackenberg, Henrik Zetterberg, Tjalf Ziemssen, Heinz Wiendl, Klaus Berger, Marco Hermesdorf, Fredrik Piehl, Ludwig Kappos, Cristina Granziera, Ahmed Abdelhak, David Leppert, Eline A. J. Willemse, Pascal Benkert, Jens Kuhle, Swiss Multiple Sclerosis Cohort Study (SMSC)   +43 more
wiley   +1 more source

A Bayesian model for longitudinal circular data [PDF]

The analysis of short longitudinal series of circular data may be problematic and to some extent has not been completely developed. In this paper we present a Bayesian analysis of a model for such data.
Eduardo Gutiérrez-Peña, Gabriel Núñez-Antonio   +1 more
core  

The rs10191329 Risk Allele Is Associated With Pronounced Retinal Layer Atrophy in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate whether the rs10191329 risk allele in the DYSF–ZNF638 locus, which is implicated in central nervous system resilience rather than immune‐mediated pathology, is associated with retinal layer thinning, a biomarker of neuroaxonal damage in relapsing multiple sclerosis (RMS). Methods From a prospective observational study,
Gabriel Bsteh, Ruchi Tanavade, Nik Krajnc, Fabian Föttinger, Theresa König, Martin Krenn, Lukas Haider, Barbara Kornek, Fritz Leutmezer, Kerstin U. Ludwig, Stefan Macher, Tobias Monschein, Markus Ponleitner, Paulus Rommer, Christiane Schmied, Karin Zebenholzer, Tobias Zrzavy, Gudrun Zulehner, Franziska Di Pauli, Axel Schmidt, Harald Hegen, Berthold Pemp, Thomas Berger   +22 more
wiley   +1 more source

Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes

, 2019
We present a non-parametric prognostic framework for individualized event prediction based on joint modeling of both longitudinal and time-to-event data.
Kontar, Raed, Yue, Xubo
core  

CROSS‐SECTIONAL VERSUS LONGITUDINAL DATA: AN EMPIRICAL COMPARISON OF MEAN DIFFERENCES IN ACADEMIC GROWTH [PDF]

, 1969
Thomas L. Hilton, Cathleen Patrick
openalex   +1 more source

Cytokine, Chemokine, and Neurofilament Light Chain Signatures in LGI1 Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To investigate the value of cytokine, chemokine, and neurofilament light chain (NfL) concentrations in predicting relapse risk, chronic epilepsy, and functional impairment in LGI1 autoimmune encephalitis (AE). Methods Cytokines/chemokines (IL‐1‐beta, IL‐2, IL‐4, IL‐5, IL‐6, IL‐8/CXCL8, IL‐10, IL‐12p70, IL‐13, IL‐17A, GM‐CSF, TNF ...
Albert Aboseif, Georgios Mangioris, Binxia Yang, Vanessa K. Pazdernik, Jeffrey W. Britton, Divyanshu Dubey, Eoin P. Flanagan, Sarosh R. Irani, Gregory S. Day, Charles L. Howe, A. Sebastian López‐Chiriboga, Andrew McKeon, John R. Mills, Yahel Segal, Michel Toledano, Ivana Vodopivec, Sean J. Pittock, Anastasia Zekeridou   +17 more
wiley   +1 more source

Two-step Estimation of Functional Linear Models with Applications to Longitudinal Data [PDF]

, 2000
Jianqing Fan, Jin‐Ting Zhang
openalex   +3 more sources