Bayesian hierarchical model for heterogeneity in the diagnosis and treatment of hepatocellular carcinoma (HCC) in the African continent Journal Article
| Authors: | Capanu, M.; Li, Y.; Chou, J.; Gönen, M.; Abou-Alfa, G. K. |
| Article Title: | Bayesian hierarchical model for heterogeneity in the diagnosis and treatment of hepatocellular carcinoma (HCC) in the African continent |
| Abstract: | HCC prevalence and etiology differ between African regions. To better understand these differences, a survey was conducted to characterize the health care practices in HCC management in Africa. Due to limited number of respondents from certain countries in Africa and due to scarce availability of resources, the traditional method of adaptive quadrature produces unstable estimates in this complex setting with sparse multinomial outcomes and with sparse clustered random effects. We propose a Bayesian hierarchical model to address this challenge, apply it to the sparse real data captured in the survey, and validate the proposed method through simulations on synthetic data. © 2024 Taylor & Francis Group, LLC. |
| Keywords: | bayesian; hierarchical model; adaptive quadrature; clustered; multinomial; sparse random effects |
| Journal Title: | Communications in Statistics Case Studies Data Analysis and Applications |
| Volume: | 10 |
| Issue: | 3-4 |
| ISSN: | 2373-7484 |
| Publisher: | Taylor & Francis Group |
| Date Published: | 2024-01-01 |
| Start Page: | 302 |
| End Page: | 323 |
| Language: | English |
| DOI: | 10.1080/23737484.2024.2434824 |
| PROVIDER: | scopus |
| PMCID: | PMC12043323 |
| PUBMED: | 40308328 |
| DOI/URL: | |
| Notes: | The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PDF. Corresponding MSK author is Marinela Capanu -- Source: Scopus |
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