Ohcanbohtosat - "variable selection"

Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression Dahkki Jennifer F. Bobb, Birgit Claus Henn, Linda Valeri, Brent A. Coull

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Factors associated with performing tuberculosis screening of HIV-positive patients in Ghana: LASSO-based predictor selection in a large public health data set Dahkki Susanne Mueller-Using, Torsten Feldt, Fred Stephen Sarfo, Kirsten Alexandra Eberhardt

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Strategic procedure in three stages for the selection of variables to obtain balanced results in public health research Dahkki Manuel Lozano, Lara Manyes, Juanjo Peiró, Adina Iftimi, José María Ramada

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Quantitative methods for descriptive intersectional analysis with binary health outcomes Dahkki Mayuri Mahendran, Daniel Lizotte, Greta R. Bauer

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Determinants of basic childhood vaccination coverage in European and OECD countries Dahkki Vladimira Varbanova, Frederik Verelst, Niel Hens, Philippe Beutels

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Two-step approach for assessing the health effects of environmental chemical mixtures: application to simulated datasets and real data from the Navajo Birth Cohort Study Dahkki Li Luo, Laurie G. Hudson, Johnnye Lewis, Ji-Hyun Lee

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A systematic comparison of statistical methods to detect interactions in exposome-health associations Dahkki Jose Barrera-Gómez, Lydiane Agier, Lützen Portengen, Marc Chadeau-Hyam, Lise Giorgis-Allemand, Valérie Siroux, Oliver Robinson, Jelle Vlaanderen, Juan R. González, Mark Nieuwenhuijsen, Paolo Vineis, Martine Vrijheid, Roel Vermeulen, Rémy Slama, Xavier Basagaña

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A study of creatinine level among patients with dyslipidemia and type 2 diabetes mellitus using multilayer perceptron and multiple linear regression Dahkki Farah Muna Mohamad Ghazali, Wan Muhamad Amir W Ahmad, Kumar Chandan Srivastava, Deepti Shrivastava, Nor Farid Mohd Noor, Nurul Asyikin Nizam Akbar, Nor Azlida Aleng, Mohammad Khursheed Alam

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Predicting Migrant Workers' Intention to Acquire Local Citizenship (Hukou) in Emerging Cities Using Machine Learning Models: A Case Study of Five Dongguan Factories Dahkki Feng-Shuo Chang, Elisa Impara

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Machine Learning Modeling for Spatial-Temporal Prediction of Geohazard

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ADME prediction with KNIME: In silico aqueous solubility consensus model based on supervised recursive random forest approaches Dahkki Gabriela Falcón-Cano, Christophe Molina, Miguel Angel Cabrera-Pérez

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Factors associated with the incidence of pressure ulcer during hospital stay Dahkki Fernanda Penido Matozinhos, Gustavo Velasquez-Melendez, Sabrina Daros Tiensoli, Alexandra Dias Moreira, Flávia Sampaio Latini Gomes

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EFEKTIVITAS METODE NEW STEPWISE DALAM PEMILIHAN VARIABEL PADA MODEL REGRESI GANDA Dahkki Thamrin Tayeb

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On the relationship between COVID-19 reported fatalities early in the pandemic and national socio-economic status predating the pandemic Dahkki Kathleen Lois Foster, Alessandro Maria Selvitella

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Prediction of dengue annual incidence using seasonal climate variability in Bangladesh between 2000 and 2018 Dahkki M. Pear Hossain, Wen Zhou, Chao Ren, John Marshall, Hsiang-Yu Yuan

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Symptomatology and Coping Resources Predict Self-Care Behaviors in Middle to Older Age Patients with Heart Failure Dahkki Lucinda J. Graven, Joan S. Grant, Glenna Gordon

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Knowledge and Perceptions of HPV Vaccine Acceptance among African-American College Women Dahkki Lauren R. Darensbourg, Ivette A. López, Matthew T. Dutton, C. Perry Brown

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A multifaceted analysis of social stressors and chronic inflammation Dahkki Margaret Gough, Kanya Godde

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Bayesian geostatistical modeling of leishmaniasis incidence in Brazil. Dahkki Dimitrios-Alexios Karag, Ronaldo G C Scholte, Luiz H Guimarães, Jürg Utzinger, Penelope Vounatsou

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Examining how physician factors influence patient satisfaction during clinical consultations about cancer prognosis and pain Dahkki Zhouyang Lou, Carolina Vivas-Valencia, Cleveland G. Shields, Nan Kong

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