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Detalles Bibliográficos
Autores principales: Sow, Amadou, Diop, Mamoudou
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2015
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Acceso en línea:https://doi.org/10.5281/zenodo.19119023
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  • <p>This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Senegal: Bayesian hierarchical model for measuring efficiency gains in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of district hospitals systems in Senegal: Bayesian hierarchical model for measuring efficiency gains, Senegal, Africa, Medicine, short report This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.</p>