Results 91 to 100 of about 4,373,274 (284)

Placebo Effect in Levodopa‐Induced Dyskinesia: A Systematic Review and Meta‐Analysis

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background Levodopa‐induced dyskinesia (LID) is a complication of Parkinson's disease (PD) treatment. While the placebo effect is a known component in PD clinical trials, its specific magnitude in the context of LID is not well characterized.
Luiz Vinicius Silva Correa   +5 more
wiley   +1 more source

Testing for homogeneity of gametic disequilibrium across strata

open access: yesBMC Genetics, 2007
Background Assessing the non-random associations of alleles at different loci, or gametic disequilibrium, can provide clues about aspects of population histories and mating behavior and can be useful in locating disease genes.
Tang Manlai   +3 more
doaj   +1 more source

High dimensional regression with many nuisance parameters: both cases of specified and unspecified parameters of interest [PDF]

open access: yes
Because of the presence of a large amount of noise in high dimensional data due to so many unimportant or less important variables, say nuisance variables, both estimation and inference regarding the variables of interest are difficult in high ...
Drikvandi, Reza
core   +1 more source

Gray Matter Microstructure Measured Using Diffusion Imaging as a Biomarker of Severity in Lewy Body Diseases

open access: yesMovement Disorders, EarlyView.
Abstract Background Despite widespread cortical involvement in Lewy body diseases, conventional gray matter magnetic resonance imaging (MRI) shows limited sensitivity. Diffusion‐weighted MRI‐derived microstructural measures have shown utility in Alzheimer's disease, but their application across the Lewy body disease spectrum remains limited ...
Angeliki Zarkali   +9 more
wiley   +1 more source

Note on randomized filtered experiments in presence of nuisance parameters [PDF]

open access: yes, 2001
In this report we define randomized filtered experiments with an abstract parameter space consisting not only parameters of interest but also nuisance parameters.
Dzhaparidze, Kacha   +1 more
core   +2 more sources

Incidental Versus Random Nuisance Parameters

open access: yesThe Annals of Statistics, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Inverse Design of Copolyamides via Sequence‐Sensitive Multifidelity Hybrid Models and Teacher–Student Genetic Algorithm

open access: yesMaterials Genome Engineering Advances, EarlyView.
A sequence‐sensitive multi‐fidelity hybrid modeling framework combined with a teacher‐student genetic algorithm enables the inverse design of copolyamides. The hybrid model balances prediction accuracy, sequence‑sensitivity, and computational cost. A two‑tier genetic algorithm can efficiently identify the monomer structures and ratios of copolyamides ...
Sheng Chen   +8 more
wiley   +1 more source

Bayesian priors and nuisance parameters

open access: yes, 2016
Gupta S, Lahiri A. Bayesian priors and nuisance parameters. arXiv:1611.08729. 2016.Bayesian techniques are widely used to obtain spectral functions from correlators.
Lahiri, Anirban, Gupta, Sourendu
core  

Optimal Experimental Design for Fast and Accurate Relaxation Time Measurements in Magnetic Resonance

open access: yesMagnetic Resonance in Chemistry, EarlyView.
We apply D‐optimal experimental design to relaxation constant estimation in NMR relaxometry. The resulting sampling schedules concentrate measurements where the signal is most sensitive to the relaxation constant. Compared with conventional linear or logarithmic spacing, D‐optimal designs achieve better estimation accuracy and precision with fewer ...
Natalie E. Klein   +4 more
wiley   +1 more source

REDUCTION OF MODELS IN THE PRESENCE OF NUISANCE PARAMETERS REDUCCIÓN DE MODELOS EN LA PRESENCIA DE PARÁMETROS DE PERTURBACIÓN

open access: yesRevista Colombiana de Estadística, 2009
In many statistical inference problems, there is interest in estimation of only some elements of the parameter vector that defines the adopted model.
Farias Rafael   +2 more
doaj  

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