Modeling underdispersed count data with generalized Poisson regression

被引：98

作者：

Harris, Tammy ^{[1
]}

Yang, Zhao ^{[2
]}

Hardin, James W. ^{[1
]}

机构：

[1] Univ S Carolina, Dept Epidemiol & Biostat, Inst Families Soc, Columbia, SC 29208 USA

[2] Quintiles Inc, Morrisville, NC USA

来源：

STATA JOURNAL | 2012年 / 12卷 / 04期

关键词：

st0279; gpoisson; Poisson; count data; overdispersion; underdispersion; OVERDISPERSION;

D O I：

10.1177/1536867X1201200412

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

We present motivation and new Stata commands for modeling count data. While the focus of this article is on modeling data with underdispersion, the new command for fitting generalized Poisson regression models is also suitable as an alternative to negative binomial regression for overdispersed data.

引用

页码：736 / 747

页数：12

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