Results 61 to 70 of about 16,686,076 (335)
Identification and Inference in Nonlinear Difference-in-Differences Models [PDF]
This paper develops an alternative approach to the widely used Difference-In-Difference (DID) method for evaluating the effects of policy changes. In contrast to the standard approach, we introduce a nonlinear model that permits changes over time in the effect of unobservables (e.g., there may be a time trend in the level of wages as well as the ...
Susan Athey, Guido Imbens
openaire +2 more sources
ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab +19 more
wiley +1 more source
Utility of the APE2 Score as a Diagnostic Tool for Autoimmune Encephalitis
ABSTRACT Objective To retrospectively evaluate the diagnostic performance of the Antibody Prevalence in Epilepsy and Encephalopathy (APE2) score relative to clinician‐adjudicated autoimmune encephalitis (AE) and the Graus criteria in a tertiary neuroimmunology referral cohort, including antibody‐negative AE.
Bijoya Basu +3 more
wiley +1 more source
Identification of High-Order Linear Time-Invariant Models from Periodic Nonlinear System Responses
This paper presents a novel step in the extension of subspace identification toward the direct identification of harmonic decomposition linear time-invariant models from nonlinear time-periodic system responses.
Mahmoud A. Hayajnh +2 more
doaj +1 more source
Dynamic Modeling of Electric Power on Light UAV
Focused on UAV(unmanned aerial vehicle) equipped electric power plant composed by Electric speed controllers, brushless DC motors and fixpitched propellers, a modeling method combined deduction with identification is studied Firstly, in consideration of ...
AN Siqi +3 more
doaj +1 more source
ABSTRACT Background The clinical relevance of MGMT promoter methylation in IDH‐mutant gliomas remains controversial in the era of molecular classification. We aimed to systematically evaluate its clinical relevance by integrating quantitative assessment, cutoff exploration, and adjustment for clinical confounding.
Haihui Jiang +7 more
wiley +1 more source
Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis
Objective Rheumatoid arthritis (RA) is associated with an increased risk of frailty and osteoporosis, but the relationship between frailty and incident osteoporotic fractures in RA is underexplored. Methods Data were from the Veterans Affairs (VA) Rheumatoid Arthritis Registry. Frailty was measured using the VA Frailty Index (VAFI).
Katherine D. Wysham +14 more
wiley +1 more source
Identification of nonlinear-nonlinear neuron models and stimulus decoding [PDF]
The majority of neural encoding models employed today consist of a linear feature-selection stage followed by a static memoryless nonlinearity generating the neuronal rate of response. Although such linear-nonlinear (LN) models have been proven useful in characterizing computation in many neurons (see [1] and references therein), they exclude the ...
Lazar, Aurel A, Slutskiy, Yevgeniy B
openaire +1 more source
Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)
Objective Vacuoles, E1 enzyme, X‐linked, autoinflammatory, somatic syndrome (VEXAS) syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures.
Kevin Byram +25 more
wiley +1 more source
New methods for the estimation of Takagi-Sugeno model based extended Kalman filter and its applications to optimal control for nonlinear systems [PDF]
This paper describes new approaches to improve the local and global approximation (matching) and modeling capability of Takagi–Sugeno (T-S) fuzzy model. The main aim is obtaining high function approximation accuracy and fast convergence. The main problem
Al-Hadithi, Basil M. +2 more
core +1 more source

