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

Presentations, Abstracts, or Demonstrations (740) Behavioral Surveillance for Population and Public Health Informatics (45) Public Health Data Analytics (82)

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
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by Tweetations Metrics

    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).