Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42890
Title: A new discrete distribution: Properties and applications in medical care
Authors: Gómez Déniz, Emilio 
UNESCO Clasification: 530202 Modelos econométricos
Keywords: Modelos econométricos
Salud pública
Issue Date: 2013
Publisher: 0266-4763
Journal: Journal of Applied Statistics 
Abstract: This paper proposes a simple and flexible count data regression model which is able to incorporate overdispersion (the variance is greater than the mean) and which can be considered a competitor to the Poisson model. As is well known, this classical model imposes the restriction that the conditional mean of each count variable must equal the conditional variance. Nevertheless, for the common case of well-dispersed counts the Poisson regression may not be appropriate, while the count regression model proposed here is potentially useful. We consider an application to model counts of medical care utilization by the elderly in the USA using a well-known data set from the National Medical Expenditure Survey (1987), where the dependent variable is the number of stays after hospital admission, and where 10 explanatory variables are analysed
URI: http://hdl.handle.net/10553/42890
ISSN: 0266-4763
DOI: 10.1080/02664763.2013.827161
Source: Journal of Applied Statistics[ISSN 0266-4763],v. 40, p. 2760-2770
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