| _version_ | 1866901427555663872 |
|---|---|
| author | Sow, Amadou Diop, Mamoudou |
| author_facet | Sow, Amadou Diop, Mamoudou |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19119023 |
| institution | Zenodo |
| language | eng |
| publishDate | 2015 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Bayesian Hierarchical Model Assessment of District Hospital Systems in Senegal 2015 Sow, Amadou Diop, Mamoudou African geography Bayesian hierarchical models District health systems Methodological evaluation Quantitative healthcare analysis Senegal-specific contexts Systematic review methodologies <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> |
| title | Bayesian Hierarchical Model Assessment of District Hospital Systems in Senegal 2015 |
| topic | African geography Bayesian hierarchical models District health systems Methodological evaluation Quantitative healthcare analysis Senegal-specific contexts Systematic review methodologies |
| url | https://doi.org/10.5281/zenodo.19119023 |