Results 171 to 180 of about 373,771 (313)

EMPIRICAL LIKELIHOOD ESTIMATORS OF THE LINEAR SIMULTANEOUS EQUATIONS MODEL

Information theoretic estimators are specified for a system of linear simultaneous equations, including maximum empirical likelihood, maximum empirical exponential likelihood, and maximum log Euclidean likelihood.
Judge, George G., Mittelhammer, Ronald C., Marsh, Thomas L.   +2 more
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Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer, Marie Obrecht, Charlotte de Maeseneire, Charlotte Damien, Chantal Depondt, Lorenzo Ferlini, Estelle Rikir, Filippo Annoni, Fabio Silvio Taccone, Nicolas Mavroudakis, Benjamin Legros, Nicolas Gaspard   +11 more
wiley   +1 more source

Generalized linear models

Technometrics, 2002
openaire   +4 more sources

The effect of meteorological variables on salmonellosis incidence in Kermanshah, West of Iran: a generalized linear model with negative binomial approach. [PDF]

J Environ Health Sci Eng, 2021
Nili S, Khanjani N, Bakhtiari B, Jahani Y, Dalaei H.   +4 more
europepmc   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Delayed motherhood and maternal health risks in India: findings from a generalized linear model analysis. [PDF]

Front Public Health
Singh M, Shekhar C, Gupta J.
europepmc   +1 more source

An Introduction to Generalized Linear Models, Third Edition

, 2008
- Introduces GLMs in a way that enables readers to understand the unifying structure that underpins them. \ud - Discusses common concepts and principles of advanced GLMs, including nominal and ordinal regression, survival analysis, and longitudinal ...
Barnett, Adrian G., Dobson, Annette J.
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Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan, Lei Zhou, Jingzi ZhangBao, Hongmei Tan, Zhouzhou Wang, Chao Quan   +5 more
wiley   +1 more source

Endometrial receptivity characteristics in patients with repeated implantation failure: a study using LASSO regression and Bayesian generalized linear model analysis. [PDF]

Front Med (Lausanne)
Zhao P, Yu Y.
europepmc   +1 more source

MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package

Generalized linear mixed models provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot be obtained in closed form.
Jarrod D. Hadfield
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