A Bayesian State-Space Approach to Dynamic Hierarchical Logistic Regression for Evolving Student Risk in Educational Analytics by Moeketsi Mosia

“…Early detection of academically at-risk students is crucial for designing timely interventions that improve educational outcomes. However, many existing approaches either ignore the temporal evolution of student performance or rely on “black box” models that sacrifice interpretability. …”
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HIV Transmission Misconceptions and Their Associated Factors Among Reproductive-Age Women in Somalia: Findings from a Nationwide Study by Mohamud LA, Hassan-Kadle MA, Abdullahi HM, Ahmed AA

“…Policies should focus on educating younger women, promoting female education, implementing region-specific health interventions, and enhancing internet access and digital literacy, particularly in rural areas, to improve HIV knowledge and support public health efforts.Keywords: HIV misconceptions, Somali women, digital literacy, bayesian analysis, highest posterior density interval, bayesian adjusted odds ratios, public health interventions…”
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Hierarchical Bayesian Reliability Model for Wind Turbines with Small Fault Sample Sets by Dameng WANG, Zhiyong MA, Yibing LIU, Wei TENG

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Data-driven soil salinization mapping: risk prediction and uncertainty quantification based on Bayesian inference by Yujian Yang, Ying Zhao, Rongjiang Yao, Xueqin Tong

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Bayesian parameter estimation and failure time prediction under double Type-II hybrid censoring for the generalized inverse exponential distribution by Shi Wei, Guoyuan He, Dalong Mo

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Predictors of postpartum depression among new mothers in Kumasi, Ghana: A multicenter study using Bayesian analysis by Joyce Emakayor Bening, Felix Darko, Richard Anterkyi, Vera Korkor Narh, Nana Yaa Agyeman Prempeh, Nityanand Jain, Albert Lawrence Kwansa, Ernest Kissi Kontor, Michael Ntim

“…Results: The pooled prevalence of postpartum depression was 25% (range 13% to 31%). Education attainment [coefficient = −0.43, 95% credible interval: −0.57 to −0.29, (adjusted odds ratio (aOR) = 0.65] and economic support from multiple earning members (coefficient = −0.28, 95% credible interval: −0.33 to −0.22, aOR = 0.75) substantially reduced the likelihood of postpartum depression. …”
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Source Reconstruction of Atmospheric Releases by Bayesian Inference and the Backward Atmospheric Dispersion Model: An Application to ETEX-I Data by Yungang Zhao, Yuanyuan Liu, Li Wang, Jianping Cheng, Shilian Wang, Qi Li

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Reliability Prediction Based on Multi-State Dynamic Bayesian Network Structure Learning for Complex System With Time-Lagged Correlation by Kaixin Liu, Weilu Chen

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Determinants of stillbirth among mothers who gave birth at Bishoftu General Hospital, Ethiopia: using a Bayesian logistic regression model by Yeshi Regassa, Hunde Lemi, Tesfaye Getachew Charkos

“…The collected data were entered into Epi-info version 7.2. A Bayesian logistic regression model was used in this study, with a 95% Credible interval to determine the association between independent variables and stillbirth. …”
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Early postnatal care uptake and its associated factors following childbirth in East Africa—a Bayesian hierarchical modeling approach by Bewuketu Terefe, Dejen Kahsay Asgedom, Fetlework Gubena Arage, Setognal Birara Aychiluhm, Tadesse Awoke Ayele

“…Hence, using the more flexible Bayesian multilevel modeling approach, this study aims to investigate the pooled prevalence and potential factors for PNC utilization among women after delivery in East African countries.MethodsWe retrieved secondary data from the Kids Record (KR) demographic and health surveys (DHS) data from 2015 to 2022 from 10 East African countries. …”
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Pooled prevalence of induced abortion and associated factors among reproductive age women in sub-Saharan Africa: a Bayesian multilevel approach by Setegn Muche Fenta, Haile Mekonnen Fenta, Seyifemickael Amare Yilema, Maru Mekie, Denekew Bitew Belay, Amsalu Worku Mekonin, Ding-Geng Chen

“…The random effects model revealed that about 75% of the variation in the induced abortion was caused by community and individual-level factors. Based on the Bayesian multilevel logistic regression model, women who smoke cigarettes(AOR = 1.044; 95%CI: 1.020, 1.070), 24-month and above birth interval(AOR = 5.747; 95%CI: 5.595, 5.889), rich women(AOR = 1.470, 95%CI: 1.436, 1.510), secondary and above-educated women (AOR = 2.640, 95%CI: 2.567, 2.707), being exposed to the media (AOR = 1.099, 95%CI: 1.083, 1.115), rural women (AOR = 1.025, 95%CI: 1.004, 1.047) and having pregnancy complications (AOR = 1.095, 95%CI: 1.067, 1.124) were associated with higher odds of induced abortion. …”
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The Role of Consumer Characteristics and Marketing Mix on the Waste of Agricultural Products by M. Mahmoudi, H. Mohammadi, A. Karbasi

“…Therefore, the multilevel Bayesian model was selected as the most appropriate tool, as discussed in the following section on the modeling methodology.   …”
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Estimating the Population Size of People Who Inject Drugs in 3 Cities in Zambia: Capture-Recapture, Successive Sampling, and Bayesian Consensus Estimation Methods by Lauren Parmley, Giles Reid, Joyce J Neal, Brave Hanunka, Leigh Tally, Lophina Chilukutu, Tepa Nkumbula, Chipili Mulemfwe, Lazarous Chelu, Ray Handema, John Mwale, Kennedy Mutale, Lloyd Mulenga, Anne F McIntyre, Neena M Philip, Hannah Chung, Maria Lahuerta

“…Final city population estimates, incorporating 3S-CRC and SS-PSE with imputed visibility estimates, were generated using a Bayesian consensus estimator. ResultsBayesian consensus PSEs ranged between 0.5% and 1.8% of the adult male population and were below 1% of the total adult population in each city. …”
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Daily meal frequency and its associated factors among children aged 6–23 months in Ethiopia: a Bayesian hierarchical Poisson model by Dejen Kahsay Asgedom, Ausman Ahmed Mohammed, Etsay Woldu Anbesu

“…The rate of DMF was 1.17 times greater (AIRR = 1.17, 95% CrI: 0.997, 1.381) in children whose mothers had a secondary/higher educational level than in those whose mothers had no education. …”
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Optimal exercise dose-response improves health-related quality of life in cancer survivors: a systematic review and Bayesian network meta-analysis of RCTs by Zhiyu Xiong, Yuan Yuan, Yong Yang, Bopeng Qiu, Ying Bai, Tao Wang, Junyu Wang, Lin Zhang, Yawen Li

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Phylogeographic History of Tomato Chlorosis Virus by Kangcheng Wu, Shiwei Zhang, Wende Huang, Zhenguo Du, Fangluan Gao, Xiayu Guan

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Optimal exercise dose on Body Mass Index (BMI) in children and adolescents with overweight and obesity: a systematic review and bayesian model-based network meta-analysis by Zan Huang, Gang Sun, Jiayu Li, Bin Zhang, Guangping Lai, Hongwei Jing, Yulan Zhou

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Under-five mortality and its associated factors in sub-Saharan Africa: a multilevel analysis of recent demographic and health surveys data based on Bayesian approach by Atalay Liknaw Birhanie, Zemenu Tadesse Tessema, Bekalu Endalew, Koku Sisay Tamirat

“…Policymakers and other stakeholders should enhance maternal education, lengthen birth interval, ANC visit, improved toilet facilities and, giving special attention to small size child and cesarean section delivery to reduce under-five mortality.…”
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Spatial patterns and determinants of fertility levels among women of childbearing age in Nigeria by Oluwayemisi O Alaba, Olusanya E Olubusoye, J O Olaomi

“…Inference was a fully Bayesian approach. Results were presented within 95% credible Interval (CI). …”
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Global, regional, and national estimates of burden and risk factors of female cancers in child-bearing age: A systematic analysis for Global Burden of Disease Study and Bayesian pr... by Guang Chen, Shichen Zhou, Qiaoxin Shi, Yunqing Xun, Tung-Leong Fong, Ruogu Xiong, Ya Xuan Sun, Junjie Lu, Yige Li, Zheng Li, Guanghui Zhu, Ying Wu, Yang Zhou, Yibin Feng, Karen K.L. CHAN

“…Projections to 2030 were generated using a Bayesian model. Results: In 2021, the global incidence of breast, uterine, cervical, and ovarian cancer among WCBA was 561,438 (95 % Uncertainty Interval [UI]: 523,147–602,978), 58,860 (95 % UI: 50,765–65,452), 307,428 (95 % UI: 280,667–335,692), and 85,749 (95 % UI: 75,169–95,090), respectively, corresponding to age-standardized rates per 100,000 population of 28.1 (95 % Confidence Interval [CI]: 28.0–28.1), 2.9 (95 % CI: 2.9–3.0), 15.4 (95 % CI: 15.4–15.5), and 4.3 (95 % CI: 4.3–4.4). …”
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