Skip Navigation


Journal of Pediatric Psychology Advance Access originally published online on June 3, 2008
Journal of Pediatric Psychology 2008 33(10):1076-1084; doi:10.1093/jpepsy/jsn055
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
33/10/1076    most recent
jsn055v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Karazsia, B. T.
Right arrow Articles by van Dulmen, M. H. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Karazsia, B. T.
Right arrow Articles by van Dulmen, M. H. M.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2008. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

Regression Models for Count Data: Illustrations using Longitudinal Predictors of Childhood Injury*

Bryan T. Karazsia, MA and Manfred H. M. van Dulmen, PHD

Kent State University

All correspondence concerning this article should be addressed to Bryan T. Karazsia, Department of Psychology, Kent State University, Kent, OH 44242, USA. E-mail: bkarazsi{at}kent.edu


  Abstract

Objective To offer a practical demonstration of regression models recommended for count outcomes using longitudinal predictors of children's medically attended injuries. Method Participants included 708 children from the NICHD child care study. Measures of temperament, attention, parent–child relationship, and safety of physical environment were used to predict medically attended injuries. Results Statistical comparisons among five estimation methods revealed that a zero-inflated Poisson (ZIP) model provided the best fit with observed data. ZIP models simultaneously model dichotomous and continuous outcomes of count variables, and different constellations of predictors emerged for each aspect of the estimated model. Conclusions This study offers a practical demonstration of techniques designed to handle dependent count variables. The conceptual and statistical advantages of these methods are emphasized, and Stata script is provided to facilitate adoption of these techniques.

Key words: count data; injury; regression.

*Portions of this article were presented at the 2008 National Conference in Child Health Psychology, Miami, FL.

Received December 13, 2007; revision received May 5, 2008; accepted May 13, 2008


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 J Pediatr PsycholHome page
B. T. Karazsia and M. H. M. van Dulmen
Assessing Injuries with Proxies: Implications for Understanding Concurrent Relations and Behavioral Antecedents of Pediatric Injuries
J. Pediatr. Psychol., May 18, 2009; (2009) jsp036v1.
[Abstract] [Full Text] [PDF]

Home page
 J Pediatr PsycholHome page
D. C. Schwebel and C. M. Brezausek
Brief Report: Unintentional Injury Risk among Children with Sensory Impairments
J. Pediatr. Psychol., April 22, 2009; (2009) jsp033v1.
[Abstract] [Full Text] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.