Results 91 to 100 of about 55,741 (307)

Effect of Implementing a Dashboard With or Without a Best Practice Alert on HLA‐B*58:01 Testing Rates Among Allopurinol Users at VA Medical Centers

open access: yesArthritis 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

Estimation of the Topp-Leone Alpha Power Weibull Distribution Based on Lower Record Values

open access: yesComputational Journal of Mathematical and Statistical Sciences
This article focuses on obtaining the maximum likelihood and Bayes estimators of the Topp-Leone alpha power Weibull distribution based on lower record values. The unknown parameters are estimated by applying the maximum likelihood approach based on lower
Gannat R. AL-Dayian   +3 more
doaj   +1 more source

Forecasting adoption of ultra-low-emission vehicles using Bayes estimates of a multinomial probit model and the GHK simulator [PDF]

open access: yes, 2013
In this paper we use Bayes estimates of a multinomial probit model with fully flexible substitution patterns to forecast consumer response to ultra-low-emission vehicles.
Achtnicht, Martin, Daziano, Ricardo
core  

The Association of Physical Function With Psychosocial Patient‐Reported Outcomes in People With Systemic Lupus Erythematosus

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey   +8 more
wiley   +1 more source

Deleted Estimates of the Bayes Risk

open access: yesThe Annals of Statistics, 1973
Consider the usual decision theoretic situation where one observes a random vector $X$ from which an estimate of its classification $\theta \in \{0, 1\}$ is to be made. If one knows the a priori probabilities for $\theta$ and the conditional densities of $X$ given $\theta$ then the smallest probability of error which can be achieved is called the Bayes
openaire   +3 more sources

Intermolecular Interactions as Driving Force of Increasing Multiphoton Absorption in a Perylene Diimide‐Based Coordination Polymer

open access: yesAdvanced Functional Materials, Volume 36, Issue 43, 29 May 2026.
This study uncovers the unexplored role of intermolecular interactions in multiphoton absorption in coordination polymers. By analyzing [Zn2tpda(DMA)2(DMF)0.3], it shows how the electronic coupling of the chromophores and confinement in the MOF enhance two‐and three‐photon absorption.
Simon Nicolas Deger   +11 more
wiley   +1 more source

Pull‐and‐Push Nanotherapeutic Hydrogels: Scavenging Inflammatory Triggers While Driving Tissue Regeneration in Burn Wounds

open access: yesAdvanced Functional Materials, EarlyView.
A nanounit‐assembled hydrogel employing a “pull‐and‐push” strategy simultaneously scavenges pro‐inflammatory cell‐free DNA (cfDNA) and delivers regenerative therapeutics in response to burn‐induced hyperthermia. By repolarizing macrophages and promoting angiogenesis, this multifunctional platform accelerates burn wound healing, offering a blueprint for
Han‐Sem Kim   +9 more
wiley   +1 more source

Bayes estimates in multivariate semiparametric linear models [PDF]

open access: yes, 2002
Bayes estimates are derived in multivariate linear models with unknown distribution. The prior distribution is defined using a Dirichlet prior for the unknown error distribution and a ormal-Wishart distribution for the parameters.
Bunke, Olaf
core  

Confidence Intervals for Nonparametric Empirical Bayes Analysis

open access: yes, 2021
In an empirical Bayes analysis, we use data from repeated sampling to imitate inferences made by an oracle Bayesian with extensive knowledge of the data-generating distribution.
Stefan Wager (589047)   +1 more
core   +1 more source

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