Results 121 to 130 of about 2,996,820 (336)

A Validated Model to Predict Severe Weight Loss in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Severe weight loss in amyotrophic lateral sclerosis (ALS) is common, multifactorial, and associated with shortened survival. Using longitudinal weight data from over 6000 patients with ALS across three cohorts, we built an accelerated failure time model to predict the risk of future severe (≥ 10%) weight loss using five single‐timepoint ...
David G. Lester, Kevin Talbot, Martin R. Turner, Alexander G. Thompson, the Pooled Resource Open‐Access ALS Clinical Trials Consortium   +4 more
wiley   +1 more source

EM-REML estimation of covariance parameters in Gaussian mixed models for longitudinal data analysis [PDF]

, 2000
Jean‐Louis Foulley, Florence Jaffrézic, Christian P. Robert   +2 more
openalex   +3 more sources

Exploring the role of microbiome in cystic fibrosis clinical outcomes through a mediation analysis

mSystems
Human microbiome plays a crucial role in host health and disease by mediating the impact of environmental factors on clinical outcomes. Mediation analysis is a valuable tool for dissecting these complex relationships.
Seda Sevilay Koldaş, Osman Uğur Sezerman, Emel Timuçin   +2 more
doaj   +1 more source

Real‐World Comparison of High‐Efficacy Versus Non‐High‐Efficacy Therapies in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The choice of the first disease modifying treatment (DMT) in multiple sclerosis (MS) is a topic of great interest, and whether high‐efficacy DMTs should be the first choice remains debated. We compared treatment outcomes (no evidence of disease activity [NEDA] and its components) between treatment‐naïve relapsing–remitting MS (RRMS ...
Sarmad Al‐Araji, Marcello Moccia, Alessia Bianchi, Charmaine Yam, Weaam Hamed, Suraya Mohamud, Alan J. Thompson, Frederik Barkhof, Ahmed T. Toosy, Olga Ciccarelli   +9 more
wiley   +1 more source

Theoretical Advancements in Small Area Modeling: A Case Study with the CHILD Cohort

Stats
Developing accurate predictive models in statistical analysis presents significant challenges, especially in domains with limited routine assessments.
Charanpal Singh, Mahmoud Torabi
doaj   +1 more source

Simulating interventions in graphical chain models for longitudinal data [PDF]

Simulating the outcome of an intervention is a central problem in many fields as this allows decision-makers to quantify the effect of any given strategy and, hence, to evaluate different schemes of actions.
Ann M. Berrington, Peter W. F. Smith, Riccardo Borgoni   +2 more
core  

The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines [PDF]

, 1999
A. P. Verbyla, B. R. Cullis, Michael G. Kenward, S. J. Welham   +3 more
openalex   +1 more source

Early Intensive Versus Escalation Approach: Ten‐Year Impact on Disability in Relapsing Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the long‐term impact of early intensive treatment (EIT) versus escalation (ESC) strategies using high‐efficacy disease‐modifying therapies (HE‐DMTs) on disability progression in relapsing multiple sclerosis (RMS). Methods This observational study included 4878 RMS patients from the Italian Multiple Sclerosis Register ...
Pietro Iaffaldano, Giuseppe Lucisano, Tommaso Guerra, Francesca Caputo, Marta Simone, Massimiliano Copetti, Damiano Paolicelli, Emilio Portaccio, Francesco Patti, Paola Perini, Vincenzo Brescia Morra, Alessia Di Sapio, Matilde Inglese, Carlo Pozzilli, Giacomo Lus, Giuseppe Salemi, Erica Curti, Giovanna De Luca, Paola Valentino, Eleonora Cocco, Paola Cavalla, Carlo Avolio, Alessandra Lugaresi, Antonio Gallo, Pietro Annovazzi, Maria A. Rocca, Clara Grazia Chisari, Massimo Filippi, Maria Pia Amato, Maria Trojano, on behalf of the Italian MS Register, Beatrice Biolzi, Daniele Dell’Anna, Daniele Di Giulio Cesare, Sonia Di Lemme, Chiara Di Tillio, Teresa Fonsdituri, Ilaria Maietta, Agata Marchese, Silvia Marinetto, Federica Martini, Cristiana Morano, Silvia Perugini, Giovanna Ramona Piredda, Chiara Raimondi, Ilaria Rossi, Valentina Tallarico, Stefania Treccarichi   +47 more
wiley   +1 more source

%QLS SAS Macro: A SAS Macro for Analysis of Correlated Data Using Quasi-Least Squares

Journal of Statistical Software, 2010
Quasi-least squares (QLS) is an alternative computational approach for estimation of the correlation parameter in the framework of generalized estimating equations (GEE). QLS overcomes some limitations of GEE that were discussed in Crowder (1995).
Han-Joo Kim, Justine Shults
doaj  

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

Annals 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, Stephane Rodriguez, Emilie Dugast, Christine Lebrun‐Frenay, Eric Thouvenot, Jérôme de Sèze, Emmanuelle Le Page, Sandra Vukusic, Inès Doghri, Eric Berger, Olivier Casez, Pierre Labauge, Aurélie Ruet, Catarina Raposo, Fabienne Le Frère, Arnaud B. Nicot, Sandrine Wiertlewski, Pierre‐Antoine Gourraud, Laure Michel, Laureline Berthelot, David‐Axel Laplaud   +20 more
wiley   +1 more source