Theme Issue: Bayesian Methods In Medical Research

Predicting Atrial Fibrillation Relapse Using Bayesian Networks: Explainable AI Approach

João Miguel Alves, Daniel Matos, Tiago Martins, Diogo Cavaco, Pedro Carmo, Pedro Galvão, Francisco Moscoso Costa, Francisco Morgado, António Miguel Ferreira, Pedro Freitas, Cláudia Camila Dias, Pedro Pereira Rodrigues, Pedro Adragão

JMIR Cardio 2025 (Feb 11); 9:e59380

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A Bayesian Network to Predict the Risk of Post Influenza Vaccination Guillain-Barré Syndrome: Development and Validation Study

Yun Huang, Chongliang Luo, Ying Jiang, Jingcheng Du, Cui Tao, Yong Chen, Yuantao Hao

JMIR Public Health Surveill 2022 (Mar 25); 8(3):e25658

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Six-Month Outcomes from the NEXit Junior Trial of a Text Messaging Smoking Cessation Intervention for High School Students: Randomized Controlled Trial With Bayesian Analysis

Marcus Bendtsen, Preben Bendtsen, Ulrika Müssener

JMIR Mhealth Uhealth 2021 (Oct 21); 9(10):e29913

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Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity

Christina Cheng, Gerald Elsworth, Richard H Osborne

J Med Internet Res 2021 (Oct 14); 23(10):e30243

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Prevention of Suicidal Relapses in Adolescents With a Smartphone Application: Bayesian Network Analysis of a Preclinical Trial Using In Silico Patient Simulations

Stephane Mouchabac, Philippe Leray, Vladimir Adrien, Fanny Gollier-Briant, Olivier Bonnot

J Med Internet Res 2021 (Sep 30); 23(9):e24560

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Effectiveness of a Smartphone App to Promote Healthy Weight Gain, Diet, and Physical Activity During Pregnancy (HealthyMoms): Randomized Controlled Trial

Johanna Sandborg, Emmie Söderström, Pontus Henriksson, Marcus Bendtsen, Maria Henström, Marja H Leppänen, Ralph Maddison, Jairo H Migueles, Marie Blomberg, Marie Löf

JMIR Mhealth Uhealth 2021 (Mar 11); 9(3):e26091

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Effects of a Text Messaging Smoking Cessation Intervention Among Online Help Seekers and Primary Health Care Visitors in Sweden: Protocol for a Randomized Controlled Trial Using a Bayesian Group Sequential Design

Marcus Bendtsen, Kristin Thomas, Catharina Linderoth, Preben Bendtsen

JMIR Res Protoc 2020 (Dec 03); 9(12):e23677

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The Effect of Question Order on Outcomes in the Core Outcome Set for Brief Alcohol Interventions Among Online Help-Seekers: Protocol for a Factorial Randomized Trial

Marcus Bendtsen, Claire Garnett, Paul Toner, Gillian W Shorter

JMIR Res Protoc 2020 (Nov 26); 9(11):e24175

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Effectiveness of a 3-Month Mobile Phone–Based Behavior Change Program on Active Transportation and Physical Activity in Adults: Randomized Controlled Trial

Anna Ek, Christina Alexandrou, Emmie Söderström, Patrick Bergman, Christine Delisle Nyström, Artur Direito, Ulf Eriksson, Pontus Henriksson, Ralph Maddison, Ylva Trolle Lagerros, Marcus Bendtsen, Marie Löf

JMIR Mhealth Uhealth 2020 (Jun 08); 8(6):e18531

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An Electronic Screening and Brief Intervention for Hazardous and Harmful Drinking Among Swedish University Students: Reanalysis of Findings From a Randomized Controlled Trial Using a Bayesian Framework

Marcus Bendtsen

J Med Internet Res 2019 (Dec 17); 21(12):e14420

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Electronic Screening for Alcohol Use and Brief Intervention by Email for University Students: Reanalysis of Findings From a Randomized Controlled Trial Using a Bayesian Framework

Marcus Bendtsen

J Med Internet Res 2019 (Nov 07); 21(11):e14419

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The design and evaluation of a Bayesian system for detecting and characterizing outbreaks of influenza

Nicholas E. Millett, John M. Aronis, Michael M. Wagner, Fuchiang Tsui, Ye Ye, Jeffrey P. Ferraro, Peter J. Haug, Per Gesteland, Gregory F. Cooper

Online J Public Health Inform 2019 (Sep 20); 11(2):e62579

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Analytic Fusion for Essential Indicators of the Opioid Epidemic

Howard Burkom, Joseph Downs, Raghav Ramachandran, Wayne Loschen, Laurel Boyd, Matthew Laidler, Joshua Van Otterloo

Online J Public Health Inform 2019 (May 30); 11(1):e62547

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A Gentle Introduction to the Comparison Between Null Hypothesis Testing and Bayesian Analysis: Reanalysis of Two Randomized Controlled Trials

Marcus Bendtsen

J Med Internet Res 2018 (Oct 24); 20(10):e10873

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Using a Bayesian Method to Assess Google, Twitter, and Wikipedia for ILI Surveillance

Danielle Sharpe, Richard Hopkins, Robert L. Cook, Catherine W. Striley

Online J Public Health Inform 2017 (May 02); 9(1):e61945

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Socio-environmental and measurement factors drive variation in influenza-like illness

Elizabeth Lee, Shweta Bansal

Online J Public Health Inform 2017 (May 02); 9(1):e62086

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Modeling spatial and temporal variability by Bayesian multilevel model

Xiaoxiao Song, Yan Li, Wei Liu, Le Cai, Wenlong Cui, Mingyue Wang

Online J Public Health Inform 2017 (May 02); 9(1):e62033

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Using Bayesian Networks to Assist Decision-Making in Syndromic Surveillance

Felipe J. Colón-González, Iain Lake, Gary Barker, Gillian E. Smith, Alex J. Elliot, Roger Morbey

Online J Public Health Inform 2016 (Mar 24); 8(1):e61731

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A Bayesian Hierarchical Model for Estimating Influenza Epidemic Severity

Nicholas L. Michaud, Jarad Niemi

Online J Public Health Inform 2016 (Mar 24); 8(1):e61741

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From Noise to Characterization Tool: Assessing Biases in Influenza Surveillance Methods Using a Bayesian Hierarchical Model

Ying Zhang, Ali Arab, Michael A. Stoto, Bejamin J. Cowling

Online J Public Health Inform 2014 (Mar 09); 6(1):e61368

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