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Prediction and monitoring of accrual and rate of underrepresented biomedical research group using bayesian methods
Artículo
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Prediction and monitoring of accrual and rate of underrepresented biomedical research group using bayesian methods
Kaustubh S. Nimkar et al · BMC · 2026 · ISSN 1471-2288
Abstract Background There has been a recent push for biomedical research to incorporate more demographically, ethnically, and medically diverse cohorts – individuals whom the NIH designates as “underrepresented in bi...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng
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An Analysis of Airline Quality Rating Components Using Bayesian Methods
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An Analysis of Airline Quality Rating Components Using Bayesian Methods
John H. Mott et al · Embry-Riddle Aeronautical University · 2015 · ISSN 2374-6793
The Airline Quality Rating, a unique metric that is of interval scale and is comparable across carriers and time periods, is a quantitative evaluation of the quality of U.S. domestic air carriers based on data that is co...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma eng
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Efeitos do número de animais na matriz de parentesco sobre as estimativas de componentes de variância para produção de leite usando os métodos de Máxima Verossimilhança Restrita e Bayesiano Effects of the number of animals in the numerator relationship matrix on variance components for milk yield using Restricted Maximum Likelihood and Bayesian methods
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Efeitos do número de animais na matriz de parentesco sobre as estimativas de componentes de variância para produção de leite usando os métodos de Máxima Verossimilhança Restrita e Bayesiano Effects of the number of animals in the numerator relationship matrix on variance components for milk yield using Restricted Maximum Likelihood and Bayesian methods
Alencariano José da Silva Falcão et al · Sociedade Brasileira de Zootecnia · 2009 · ISSN 1516-3598
Foram estimados os componentes de variância para produção de leite e avaliado o impacto do aumento do número de animais na matriz de parentesco sobre os componentes de variância usando os métodos de Máxima Verossi...
LCC LCC:Animal cultureIdioma eng
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Bayesian Approach for Analyzing Computer Models using Gaussian Process Models.
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Bayesian Approach for Analyzing Computer Models using Gaussian Process Models.
hasan Saeid et al · University of Mosul, College of Education for Pure Science · 2021 · ISSN 1812-125X
Mathematical models, usually implemented in computer programs known as computer models, are widely used in all areas of science and technology to represent complex systems in the real world. However, computer models are ...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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Bayesian Neural Network-Assisted Parameter Estimation of the Transmuted Teissier Distribution for Environmental Data Modeling
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Bayesian Neural Network-Assisted Parameter Estimation of the Transmuted Teissier Distribution for Environmental Data Modeling
P. T. Amrutha et al · IEEE · 2026 · ISSN 2169-3536
Machine learning has evolved into a potent tool for analysing patterns and making predictions from complex data. In this machine learning era, we employed neural network techniques to estimate the parameters of statistic...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data Metodologia Bayesiana para comparação de parâmetros de modelos de regressão não-linear: uma aplicação a dados de degradabilidade ruminal
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Bayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data Metodologia Bayesiana para comparação de parâmetros de modelos de regressão não-linear: uma aplicação a dados de degradabilidade ruminal
Robson Marcelo Rossi et al · Sociedade Brasileira de Zootecnia · 2010 · ISSN 1516-3598
This paper shows the Bayesian approach as an alternative to the classical analysis of nonlinear models for ruminal degradation data. The data set was obtained from a Latin square experimental design, established for test...
LCC LCC:Animal cultureIdioma eng
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Methods for specifying the target difference in a randomised controlled trial: the Difference ELicitation in TriAls (DELTA) systematic review.
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Methods for specifying the target difference in a randomised controlled trial: the Difference ELicitation in TriAls (DELTA) systematic review.
Jenni Hislop et al · Public Library of Science (PLoS) · 2014 · ISSN 1549-1277
BackgroundRandomised controlled trials (RCTs) are widely accepted as the preferred study design for evaluating healthcare interventions. When the sample size is determined, a (target) difference is typically specified th...
LCC LCC:MedicineIdioma eng
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Centers performance for end-stage kidney replacement therapy: a Bayesian hierarchical logistic regression for a binary kidney transplant status
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Centers performance for end-stage kidney replacement therapy: a Bayesian hierarchical logistic regression for a binary kidney transplant status
Solomon Woldeyohannes et al · BMC · 2026 · ISSN 1471-2288
Abstract Purpose The past two decades witnessed increased use of risk-adjusted standardized measures such as standardized mortality ratios (SMRs) and standardized incidence ratios (SIRs) in institutional comparisons betw...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng
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Comparative evaluation of Bayesian external information borrowing and frequentist approaches in underpowered confirmatory trials
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Comparative evaluation of Bayesian external information borrowing and frequentist approaches in underpowered confirmatory trials
Ruobing Li et al · BMC · 2026 · ISSN 1471-2288
Abstract The application of Bayesian statistics in pivotal clinical trials has gained increasing attention, particularly for underpowered confirmatory trials such as those in pediatric and rare disease populations. Bayes...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng
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Modelo hierárquico bayesiano aplicado na avaliação genética de curvas de crescimento de bovinos de corte Bayesian hierarchical model appllied to genetic evaluation of of beef cattle growth curves
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Modelo hierárquico bayesiano aplicado na avaliação genética de curvas de crescimento de bovinos de corte Bayesian hierarchical model appllied to genetic evaluation of of beef cattle growth curves
N.A.M. Silva et al · Universidade Federal de Minas Gerais, Escola de Veterinária · 2010 · ISSN 0102-0935
A estimação dos componentes de (co)variância dos parâmetros de modelos de crescimento pode ser feita por vários métodos. A metodologia bayesiana se apresenta como uma forma alternativa de estimação. Foi realizado...
LCC LCC:Animal cultureIdioma eng
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Quantifying the Bayesian Evidence for a Planet in Radial Velocity Data
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Acceso abierto Artículo CONICET Digital
Quantifying the Bayesian Evidence for a Planet in Radial Velocity Data
Nelson, Benjamin E. et al · IOP Publishing · 2020 · ISSN 0004-6256
We present results from a data challenge posed to the radial velocity (RV) community: Namely, to quantify the Bayesian "evidence"for n = {0, 1, 2, 3} planets in a set of synthetically generated RV data sets containing a ...
Idioma eng
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Review of bayesian analysis in additive hazards model
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Review of bayesian analysis in additive hazards model
Alvarez, Enrique Ernesto et al · Asian Journal of Probability and Statistics · 2019 · ISSN 2582-0230
In Survival Analysis, the focus of interest is a time $T^*$ until the occurrence of some event. A set of explanatory variables (denoted by a vector $Z$) is considered to analyze if there is a relationship between any of ...
Idioma eng
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A bayesian network approach for systemic risk analysis in unmanned aerial vehicle (UAV) operations
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A bayesian network approach for systemic risk analysis in unmanned aerial vehicle (UAV) operations
Lu Wang et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Unmanned Aerial Vehicle (UAV) operations confront complex systemic risks that challenge traditional analytical methods. This paper develops a hierarchical Bayesian Network (BN) to quantitatively model these risk...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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A comparison and evaluation of statistical methods for mediation analysis with mixtures of environmental exposures
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A comparison and evaluation of statistical methods for mediation analysis with mixtures of environmental exposures
Sean McGrath et al · BMC · 2026 · ISSN 1471-2288
Abstract Background Environmental studies often evaluate how exposures influence health outcomes through intermediate biological processes. In practice, researchers are often interested in complex exposure mixtures rathe...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng
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Efficacy and safety evaluation of thromboprophylaxis strategies for central venous catheter-related thrombosis in cancer patients: a bayesian network meta-analysis and bibliometric analysis
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Efficacy and safety evaluation of thromboprophylaxis strategies for central venous catheter-related thrombosis in cancer patients: a bayesian network meta-analysis and bibliometric analysis
Mingyu Meng et al · Frontiers Media S.A · 2026 · ISSN 1663-9812
BackgroundCatheter-related thrombosis (CRT) is a common complication following central venous catheter (CVC) placement in patients with cancer, increasing mortality and adverse outcomes. However, robust evidence on optim...
LCC LCC:Therapeutics. PharmacologyIdioma eng
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Efficacy and safety of Chinese botanical drug decoctions for migraine: a Bayesian network meta-analysis
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Efficacy and safety of Chinese botanical drug decoctions for migraine: a Bayesian network meta-analysis
Fan Zhang et al · Frontiers Media S.A · 2026 · ISSN 1663-9812
BackgroundMigraine is a common neurological disorder that substantially affects patients’ quality of life. Chinese botanical drug decoctions are used in migraine management; however, the comparative efficacy and safety...
LCC LCC:Therapeutics. PharmacologyIdioma eng
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Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis
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Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis
Gang Huang et al · Frontiers Media S.A · 2026 · ISSN 1664-3224
ObjectiveThe present Bayesian network meta-analysis (NMA) aims to evaluate and compare the efficacy of aerobic training (AT), resistance training (RT), high-intensity interval training (HIIT), and combined training (CT) ...
LCC LCC:Immunologic diseases. AllergyIdioma eng
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Optimal dose and type of exercise across cardiometabolic outcomes in adults with overweight or obesity: protocol for a Bayesian model-based dose–response network meta-analysis of randomised controlled trials
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Optimal dose and type of exercise across cardiometabolic outcomes in adults with overweight or obesity: protocol for a Bayesian model-based dose–response network meta-analysis of randomised controlled trials
Qiuxia Zhang et al · BMJ Publishing Group · 2026 · ISSN 2044-6055
Introduction Overweight and obesity are major global public health challenges and increase the risk of type 2 diabetes, dyslipidaemia, hypertension and cardiovascular disease. Exercise is a safe and cost-effective non-ph...
LCC LCC:MedicineIdioma eng
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Psychometric properties of the Questionnaire for the Use of Public Transportation and Well-Being: Bayesian reliability, factorial invariance, and structural equation modeling evidence
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Psychometric properties of the Questionnaire for the Use of Public Transportation and Well-Being: Bayesian reliability, factorial invariance, and structural equation modeling evidence
Jonatan Baños-Chaparro et al · Frontiers Media S.A · 2026 · ISSN 2297-7775
IntroductionPublic transport is a fundamental component of urban mobility and an everyday context that can influence the emotional well-being of adults. However, there is limited availability of validated psychometric in...
LCC TENDOlNvY2lvbG9neSAoR2VuZXJhbCk~Idioma eng
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mist: a hierarchical Bayesian framework for detecting differential DNA methylation dynamics in single-cell data
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mist: a hierarchical Bayesian framework for detecting differential DNA methylation dynamics in single-cell data
Daoyu Duan et al · Nature Portfolio · 2026 · ISSN 2041-1723
Abstract Recent advancements in single-cell DNA methylation (scDNAm) sequencing technologies have enabled the profiling of epigenetic landscapes at unprecedented resolution, offering insights into cellular heterogeneity,...
LCC TENDOlNjaWVuY2U~Idioma eng
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Mixture models in quantitative genetics and applications to animal breeding
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Mixture models in quantitative genetics and applications to animal breeding
Daniel Gianola et al · Sociedade Brasileira de Zootecnia · 2007 · ISSN 1516-3598
Finite mixture models are helpful for uncovering heterogeneity due to hidden structure; for example, unknown major genes. The first part of this article gives examples and reviews quantitative genetics issues of continuo...
LCC LCC:Animal cultureIdioma eng
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Association of Ambient Air Pollution and Pregnancy Outcomes Among Women with Assisted Reproductive Technology in Qingdao, China: A Retrospective Cohort Study
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Association of Ambient Air Pollution and Pregnancy Outcomes Among Women with Assisted Reproductive Technology in Qingdao, China: A Retrospective Cohort Study
Chen S et al · Dove Medical Press · 2026 · ISSN 1179-1594
Shuyuan Chen,1,2,* Zewei Yu,2,* Yuquan Mao,1,3,* Yangying Xu,2 Fanhui Meng,4 Duan Li,2 Xueyu Wang,5 Yupeng Jia,6 Xiaowen Liu,1 Yujie Li,2 Cuifang Hao,2 Xin Du1,2 1Department of Integrated Traditio...
LCC LCC:Public aspects of medicineIdioma eng
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Association of mixed exposure to lithium, vanadium, uranium, and bismuth in early pregnancy with gestational weight gain
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Association of mixed exposure to lithium, vanadium, uranium, and bismuth in early pregnancy with gestational weight gain
Jiao LI et al · Editorial Committee of Journal of Environmental and Occupational Medicine · 2026 · ISSN 2095-9982
BackgroundGestational weight gain is closely related to maternal and infant health outcomes. Pregnant women are simultaneously exposed to four metals—lithium (Li), vanadium (V), uranium (U), and bismuth (Bi)—through ...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~; TENDOlRveGljb2xvZ3kuIFBvaXNvbnM~Idioma eng
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Bulk viscous cosmological models with a cosmological constant: Observational constraints
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Bulk viscous cosmological models with a cosmological constant: Observational constraints
Noemí Villalobos R. et al · EDP Sciences · 2026 · ISSN 0004-6361
Aims. We investigate whether viscous cold dark matter (vCDM) in a Λ-dominated Friedmann-Lemaître-Robertson-Walker (FLRW) universe can alleviate the Hubble tension, while satisfying thermodynamic constraints. Here, we e...
LCC TENDOkFzdHJvbm9teQ~~Idioma eng
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