Results 101 to 110 of about 624,838 (295)

Long‐Term Efficacy of Immunotherapy in Autoimmune Autonomic Ganglionopathy—A 10‐Year Follow Up Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune autonomic ganglionopathy (AAG) is a rare but potentially treatable cause of severe autonomic failure. Evidence guiding long‐term immunotherapy, treatment sequencing, and residual autonomic impairment is limited. We evaluated long‐term treatment response, residual autonomic dysfunction, and relapse patterns in patients with
Giacomo Chiaro, Shiwen Koay, Gordon T. Ingle, Patricia McNamara, Laura Watson, Fion Bremner, Valeria Iodice   +6 more
wiley   +1 more source

nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments

Journal of Statistical Software, 2012
Longitudinal data from factorial experiments frequently arise in various fields of study, ranging from medicine and biology to public policy and sociology.
Kimihiro Noguchi, Yulia R. Gel, Edgar Brunner, Frank Konietschke   +3 more
doaj  

npregfast: An R Package for Nonparametric Estimation and Inference in Life Sciences

Journal of Statistical Software, 2017
We present the R npregfast package via some applications involved with the study of living organisms. The package implements nonparametric estimation procedures in regression models with or without factor-by-curve interactions.
Marta Sestelo, Nora M. Villanueva, Luis Meira-Machado, Javier Roca-Pardiñas   +3 more
doaj   +1 more source

Response to Allopurinol and Febuxostat According to the Fractional Excretion of Urate in Men With Gout

Arthritis Care &Research, EarlyView.
Objective Body mass index (BMI), glomerular filtration rate (GFR), and pretreatment urate levels have been reported to influence the urate‐lowering response to allopurinol. We investigated whether the fractional excretion of uric acid (FEUA) also modulates this response and relates to oxypurinol concentrations.
Pascal Richette, Anouk Walter‐Petrich, Quang Dinh Nguyen, Matthieu Resche‐Rigon, Quang Huy Dinh Nguyen, Minh Duc Do, Thao Phuong Mai, Tuan Duc Nguyen, Fernando Perez‐Ruiz, Emmanuel Letavernier, Tristan Pascart, Augustin Latourte, Hang Korng Ea, Thomas Bardin   +13 more
wiley   +1 more source

Mixture of Regression Models with Single-Index

, 2016
In this article, we propose a class of semiparametric mixture regression models with single-index. We argue that many recently proposed semiparametric/nonparametric mixture regression models can be considered special cases of the proposed model. However,
Xiang, Sijia, Yao, Weixin
core  

Rheumatoid Arthritis and Coronary Artery Calcium Progression: A Case Cohort Analysis from ELSA‐Brasil

Arthritis Care &Research, Accepted Article.
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within ELSA‐Brasil included 585 participants (86 RA, 499 controls). Longitudinal analyses were restricted to those
Patrícia Fonseca Estrada, Marcos R. N. Cavalcante, Itamar de Souza Santos, Márcio S. Bittencourt, Vandrize Meneghini, Paulo Andrade Lotufo, Alessandra C.Goulart, Isabela M. Bensenor   +7 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Ordering Quantiles through Confidence Statements

Entropy, 2016
Ranking variables according to their relevance to predict an outcome is an important task in biomedicine. For instance, such ranking can be used for selecting a smaller number of genes for then applying other sophisticated experiments only on genes ...
Cassio P. de Campos, Carlos A. de B. Pereira, Paola M. V. Rancoita, Adriano Polpo   +3 more
doaj   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

A Monte Carlo Study of Old and New Frontier Methods for Efficiency Measurement [PDF]

This study presents the results of an extensive Monte Carlo experiment to compare different methods of efficiency analysis. In addition to traditional parametric-stochastic and nonparametric-deterministic methods recently developed robust nonparametric ...
Krüger, Jens
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