Applying Zero-inflated Mixed Model to School Absenteeism Surveillance in Rural China
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How to Cite

Song, X., Tao, T., Zhao, Q., Yang, F., Lars, P., Vinod, D., Yuan, H., & Xu, B. (2013). Applying Zero-inflated Mixed Model to School Absenteeism Surveillance in Rural China. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4421

Abstract

Absenteeism has great advantages in promoting the early detection of epidemics. Distribution of the data generally are asymmetry, zero inflation, truncation and non-independence. In order to handle these encumbrances, we should apply the Zero-inflated Mixed Model (ZIMM).
https://doi.org/10.5210/ojphi.v5i1.4421
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