This paper is in the following e-collection/theme issue:

Presentations, Abstracts, or Demonstrations (740) Behavioral Surveillance for Population and Public Health Informatics (41) Public Health Data Analytics (72)

Published on in Vol 5, No 1 (2013):

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

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

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

Authors of this article:

Xiaoxiao Song1 ;   Tao Tao1 ;   Qi Zhao1 ;   Fuqiang Yang2 ;   Palm Lars3 ;   Diwan Vinod4 ;   Hui Yuan5 ;   Biao Xu1
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    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).