Showing 1 - 14 results of 14 for search '"Bayesian hierarchical modeling"', query time: 0.05s Refine Results
  1. 1

    A Bayesian Hierarchical Model for Relating Multiple SNPs within Multiple Genes to Disease Risk by Lewei Duan, Duncan C. Thomas

    Published 2013-01-01
    “…Here, we present an extension of a Bayesian hierarchical modeling strategy that allows for multiple SNPs within each gene, with external prior information at either the SNP or gene level. …”
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    Drought before fire increases tree mortality after fire by C. Alina Cansler, Micah C. Wright, Phillip J. vanMantgem, Timothy M. Shearman, J. Morgan Varner, Sharon M. Hood

    Published 2024-12-01
    “…To evaluate whether drought increases the likelihood of post‐fire tree mortality, we used a large database of tree survival and mortality from 32 years of wildland fires covering four dominant western North American conifers. We used Bayesian hierarchical modeling to predict the probability of individual tree mortality after fire based on species—Pinus contorta (lodgepole pine), Abies concolor (white fir), Pseudotsuga menziesii (Douglas‐fir), and Pinus ponderosa (ponderosa pine)—bark thickness, bark char, percentage live tree crown scorched or consumed crown volume scorch (CVS), and mean annual climatic water deficit (CWD) anomalies the year pre‐fire and fire year relative to the 1985–2015 reference period. …”
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    Grazing by non‐native ungulates negatively impacts vegetation important to a native species of concern by Phillip A. Street, Levi Jaster, Thomas E. Dilts, Tessa L. Behnke, James S. Sedinger

    Published 2025-01-01
    “…We used a novel Bayesian hierarchical modeling framework to link vegetation metrics with the spatial–temporal distribution of horses and livestock while accounting for observation error. …”
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    New probabilistic methods for quantitative climate reconstructions applied to palynological data from Lake Kinneret by T. Netzel, A. Miebach, T. Litt, A. Hense

    Published 2025-02-01
    “…The complex age–sediment–depth and proxy–climate relationships must be described in an appropriate way. Bayesian hierarchical models are a promising method for describing such structures.…”
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    Robust Bayesian Regularized Estimation Based on t Regression Model by Zean Li, Weihua Zhao

    Published 2015-01-01
    “…A Gibbs sampler is developed based on the Bayesian hierarchical model framework, where we treat the t distribution as a mixture of normal and gamma distributions and put different penalization parameters for different regression coefficients. …”
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    Global, regional and national sodium intakes in 1990 and 2010: a systematic analysis of 24 h urinary sodium excretion and dietary surveys worldwide by J Lennert Veerman, Sarah Lewis, John Britton, Bruce Neal, Kathryn G Andrews, Goodarz Danaei, Majid Ezzati, Yanping Li, Yu Chen, Farshad Farzadfar, Jean-Michel Gaspoz, Idris Guessous, Lital Keinan-Boker, Paul Elliott, Carukshi Arambepola, Antonia Trichopoulou, Philippos Orfanos, Martin C Gulliford, Renata Micha, Dariush Mozaffarian, Wen-Harn Pan, Shoichiro Tsugane, Habibul Ahsan, Manami Inoue, Luz Maria Sanchez-Romero, Andrew Fogarty, Christos Pitsavos, Edward Giovannucci, Stefaan De Henauw, Stephen S Lim, Cho-il Kim, Inge Huybrechts, Didier Garriguet, Simón Barquera, Katia Castetbon, Neville Calleja, Peilin Shi, Hsing-Yi Chang, Yasuhiro Matsumura, Hubert Barennes, Guansheng Ma, Shahab Khatibzadeh, Saman Fahimi, John Powles, Morteza Abdollahi, Anahita Houshiar-rad, Eda Koksal, Sahar Zaghloul, Sirje Vaask, Ana Baylin, Simon Forsyth, Rosely Sichieri, Christian Haerpfer, Ian Brown, Demosthenes B Panagiotakos, Jacqui Webster, Androniki Naska, Dorothy Gauci, Rebecca E Engell, Tim E Byers, Stephanie Smith-Warner, Ibrahim Elmadfa, Mayuree Rao, Pamela A Abbott, Enrique O Abeyá Gilardon, Suad N Al-Hooti, Wulf Becker, Peter Bjerregaard, Lesley T Bourne, Mario V Capanzana, Melanie J Cowan, Dulitha N Fernando, Regina M Fisberg, Brahmam NV Ginnela, Wilbur Hadden, Daniel J Hoffman, Nahla C Hwalla, Hajah Masni Ibrahim, Maria D Jackson, Lars Johansson, Hae-Jeung Lee, Chan Mei Fen, Gert BM Mensink, Rafael A Monge-Rojas, Balakrishna Nagalla, Marga C Ocke, Maciej Oltarzewski, Marja-Leena Ovaskainen, Gulden Ayla Pekcan, Stefka Petrova, Noppawan Piaseu, Leanne M Riley, Rusidah BT Selamat, Chansimaly Simmala, Laufey Steingrimsdottir, Gillian Swan, Lucjan Szponar, Heli Tapanainen, Robert Templeton, Anastasia Thanopoulou, Holmfridur Thorgeirsdóttir, Inga Thorsdottir, Aida Turrini, Nowak Verena, Anna Waskiewicz, Gábor Zajkás, Shadi Kalantarian, Pattra Wirojratana, Mary Anne Land, Tricia McKeever, Mohannad Abed Alfattah Al Nsour, Medical Science, Heléne Enghardt Barbieri, Aida Filipovic Hadziomeragic, Nur Indrawaty Lipoeto, Stephen T. McGarvey, Abdulrahman Obaid. Musaiger, Luz Gladys. Posada, Elz˙bieta Halina. Sygnowska

    Published 2013-12-01
    “…Objectives To estimate global, regional (21 regions) and national (187 countries) sodium intakes in adults in 1990 and 2010.Design Bayesian hierarchical modelling using all identifiable primary sources.Data sources and eligibility We searched and obtained published and unpublished data from 142 surveys of 24 h urinary sodium and 103 of dietary sodium conducted between 1980 and 2010 across 66 countries. …”
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    Bayesian hierarchical network autocorrelation models for estimating direct and indirect effects of peer hospitals on outcomes of hospitalized patients by Guanqing Chen, A. James O’Malley

    Published 2024-06-01
    “…We construct a United States New England region patient-sharing hospital network and apply newly developed Bayesian hierarchical models to study the diffusion of robotic surgery and hospital peer effects in patient outcomes using a cohort of United States Medicare beneficiaries in 2016 and 2017. …”
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    Growth response of Douglas fir to the first early and delayed thinning by Dušek David, Novák Jiří

    Published 2025-02-01
    “…The data were analysed using Bayesian hierarchical modelling, and generalized hierarchical models were employed. …”
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    A spatiotemporal optimization engine for prescribed burning in the Southeast US by Reetam Majumder, Adam J. Terando, J. Kevin Hiers, Jaime A. Collazo, Brian J. Reich

    Published 2025-03-01
    “…By mining historical 3-day numerical weather forecasts and observation-based weather data for 2015–2021, we have developed a Bayesian hierarchical model for forecast verification that provides calibrated daily weather forecasts and joint uncertainty estimates on meteorological variables of interest, with the latter serving as a measure of risk associated with prescribed fire activities. …”
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    Evolution of gender representation among Canadian OTL-HNS residents: a 27-year analysis by Sarah Chorfi, Joseph S. Schwartz, Neil Verma, Meredith Young, Lawrence Joseph, Lily H. P. Nguyen

    Published 2017-08-01
    “…Descriptive analysis was used to examine gender representation among OTL-HNS residents across years, and to compare these trends with other specialties. Bayesian hierarchical models were fit to analyze the growth in program rates in OTL-HNS based on gender. …”
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