A probit- log- skew-normal mixture model for repeated measures data with excess zeros, with application to a cohort study of paediatric respiratory symptoms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Epidemiology
Link
http://link.springer.com/article/10.1186/1471-2288-10-55/fulltext.html
Reference37 articles.
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3. Yau KKW, Lee AH: Zero-Inflated Poisson regression with random effects to evaluate an occupational injury prevention programme. Statistics in Medicine. 2001, 20: 2907-2920. 10.1002/sim.860.
4. Hall DB, Berenhaut KS: Score tests for heterogeneity and overdispersion in zero-inflated Poisson and binomial regression models. The Canadian Journal of Statistics. 2002, 30: 415-430. 10.2307/3316145.
5. Min Y, Agresti A: Random effect models for repeated measures of zero-inflated count data. Statistical Modelling. 2005, 5: 1-19. 10.1191/1471082X05st084oa.
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