MCMCINLA Estimation of Missing Data and Its Application to Public Health Development in China in the Post-Epidemic Era

Medical data are often missing during epidemiological surveys and clinical trials. In this paper, we propose the MCMCINLA estimation method to account for missing data. We introduce a new latent class into the spatial lag model (SLM) and use a conditional autoregressive specification (CAR) spatial m...

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Detalles Bibliográficos
Autores principales: Teng, Jiaqi, Ding, Shuzhen, Shi, Xiaoping, Zhang, Huiguo, Hu, Xijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322628/
https://www.ncbi.nlm.nih.gov/pubmed/35885138
http://dx.doi.org/10.3390/e24070916

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322628/
https://www.ncbi.nlm.nih.gov/pubmed/35885138
http://dx.doi.org/10.3390/e24070916

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