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Romuald Daniel BOY-NGBOGBELE

Observed names: Romuald Daniel Boy Ngbogbele, Romuald Daniel Boy- Ngbogbele, Romuald Daniel Boy-Ngbogbele, Romuald Daniel Boy-ngbogbele
ORCID: 0009-0003-7912-9092
Observed ORCID: 0009-0003-7912-9092
OpenAlex ID: A5120285144
A Bayesian framework for enhancing health data accuracy in pooled cross-sectional analysis
2026 · Romuald Daniel Boy-ngbogbele, Oscar Ngesa, et al. · Healthcare Analytics · 8
A Multiple Imputation Approach to Improving Health Data Accuracy in Pooled Cross-Sectional Analysis
2026 · Romuald Daniel Boy-ngbogbele, Oscar Ngesa, et al. · Journal of Multidisciplinary Applied Natural Science · 2
S-GRHyMoLAP: A stochastic extension of the GRHyMoLAP model with different diffusion mechanisms for probabilistic rainfall-runoff modeling
2026 · Sianou Ezéckiel Houénafa, Lionel Cédric Gohouede, et al. · Journal of Hydrology · 1
Dynamic Stochastic Modeling of Economic Growth with Uncertainty
2026 · Romuald Daniel Boy-ngbogbele, Pierre Havyarimana · Journal of Pathology Research Reviews & Reports
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A Hybrid Machine Learning–Bayesian Framework for Correcting Measurement Error in Health Data
2026 · Romuald Daniel Boy Ngbogbele · Journal of Artificial Intelligence and Digital Health
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A Hybrid Machine Learning–Bayesian Framework for Correcting Measurement Error in Health Data
2026 · Romuald Daniel BOY-NGBOGBELE · Research Square
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Bayesian Machine Learning for Precision Oncology: Integrating Clinical, Genomic, and Imaging Data for Personalized Cancer Prognosis
2026 · Romuald Daniel BOY-NGBOGBELE, Aboubakar Alfa Samuel · Research Square
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Explainable Bayesian Artificial Intelligence for Precision Oncology: A Multimodal Framework for Personalized Cancer Prognosis
2026 · Romuald Daniel BOY-NGBOGBELE, Aboubakar Alfa Samuel · Research Square
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Mathematical Modeling and Embedded Sensor Systems for Smart Infrastructure Monitoring
2026 · Romuald Daniel Boy- Ngbogbele, Hubert Ulrich Auxance Rigaud, et al. · International Journal of Innovative Science and Research Technology (IJISRT)
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Bayesian Deep Learning for Measurement Error Correction in Health Survey Data
2026 · Romuald Daniel BOY-NGBOGBELE, Arthur Kassa‑Sombo · Research Square
Improving Health Policy Decisions through Measurement Error-Corrected Prevalence Estimates: A Simulation Study Based on Longitudinal DHS-Like Data on Child Malnutrition
2026 · Romuald Daniel Boy Ngbogbele, Aboubakar Alfa Samuel, et al. · Journal of Pediatric and Neonatal Sciences
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Bayesian and Machine Learning Approaches to the Classification Problem
2026 · Romuald Daniel BOY-NGBOGBELE · Research Square
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Survey-Weighted Bayesian Logistic Regression for Measurement Error in Cross-Sectional Data Health Surveys
2026 · Romuald Daniel BOY-NGBOGBELE, Nisreen Osman E. Ahmed Osman E. Ahmed, et al. · Research Square
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A Bayesian Approach to Correcting Measurement Error in Estimating Childhood Malnutrition Prevalence fromPooled Demographic and Health Surveys Data
2026 · Romuald Daniel BOY-NGBOGBELE, Raymond Affossogbe · Research Square
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Spatial Bayesian Modeling of Child Malnutrition with Measurement Error in Demographic Health Survey Data
2026 · Romuald Daniel BOY-NGBOGBELE, Bertin Dehigbe, et al. · Research Square
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Modeling the Impact of Socioeconomic Determinants on Childhood Malnutrition: A Hierarchical Bayesian Approach with Measurement Error Adjustment
2026 · Romuald Daniel Boy-ngbogbele, Oscar Ngesa, et al. · Applied and Computational Mathematics
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Trends of malnutrition and contributing factors among children under five years in Cameroon: lessons from four rounds of DHS data
2026 · Romuald Daniel Boy-Ngbogbele, Oscar Ngesa, et al. · Communications in Mathematical Biology and Neuroscience
Works count: 17
Citation count: 11
H-index: 2
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