Results 91 to 100 of about 128,009 (300)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon +9 more
wiley +1 more source
Objective Bayes estimation and hypothesis testing : the reference-intrinsic approach [PDF]
, 2005 Conventional frequentist solutions to point estimation and hypothesis testing typically need ad hoc modifications when dealing with non-regular models, and may prove to be misleading.
Juárez, Miguel A.
core
Empirical Bayes Methods for Dynamic Factor Models [PDF]
, 2017 We consider the dynamic factor model where the loading matrix, the dynamic factors, and the disturbances are treated as latent stochastic processes. We present empirical Bayes methods that enable the shrinkagebased estimation of the loadings and factors.
Mesters, G. +3 more
core +1 more source
pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods. [PDF]
BMC Bioinformatics, 2023 Behdenna A +6 more
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Choroid plexus volume (CPV) has been proposed as a neuro‐immunological marker of multiple sclerosis (MS), but its relevance in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD) remains uncertain. We analyzed CPV in 43 individuals with MOGAD, 48 with MS, and 44 healthy controls using a Bayesian Gaussian mixture modeling ...
Jae‐Won Hyun +4 more
wiley +1 more source
Replication data for: A Comparison of Bayes Factor Approximation Methods Including Two New Methods [PDF]
, 2012 Bayes factors (BFs) play an important role in comparing the fit of statistical models. However, computational limitations or lack of an appropriate prior sometimes prevent researchers from using exact BFs.
Kenneth A. Bollen +3 more
core +1 more source
Reverse-Bayes methods for evidence assessment and research synthesis. [PDF]
Res Synth Methods, 2022 Held L, Matthews R, Ott M, Pawel S.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.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
Statistical analysis of microarrays [PDF]
, 2005 Microarray statistical analysis involves thousands of hypothesis tests to consider at the same time. Empirical Bayes methods which are well-suited for large scale inference problems seem to be the most appropriate approach for microarray data.
Mouzaki, Daphne
core
Arthritis Care &Research, EarlyView.Objective The American College of Rheumatology recommends HLA‐B*58:01 allele testing before the initiation of allopurinol, specifically among Asian and African American/Black patients, due to their increased risk for severe hypersensitivity reactions. However, testing rates remain low at many health care facilities.
Abimbola Fadairo‐Azinge +6 more
wiley +1 more source