Abstract:
:In mental health services research, analyzing service utilization data often poses serious problems, given the presence of substantially skewed data distributions. This article presents a non-technical introduction to statistical methods specifically designed to handle the complexly distributed datasets that represent mental health service use, including Poisson, negative binomial, zero-inflated, and zero-truncated regression models. A flowchart is provided to assist the investigator in selecting the most appropriate method. Finally, a dataset of mental health service use reported by medical patients is described, and a comparison of results across several different statistical methods is presented. Implications of matching data analytic techniques appropriately with the often complexly distributed datasets of mental health services utilization variables are discussed.
journal_name
Psychiatry Resjournal_title
Psychiatry researchauthors
Elhai JD,Calhoun PS,Ford JDdoi
10.1016/j.psychres.2007.07.003subject
Has Abstractpub_date
2008-08-15 00:00:00pages
129-36issue
2eissn
0165-1781issn
1872-7123pii
S0165-1781(07)00213-2journal_volume
160pub_type
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