intcount: A command for fitting count-data models from interval data

被引：1
|
作者：
Pudney, Stephen [1 ]
机构：
[1] Univ Sheffield, Sch Hlth & Related Res, Hlth Econ & Decis Sci, Sheffield, S Yorkshire, England
来源：
STATA JOURNAL | 2019年 / 19卷 / 03期
基金：
英国经济与社会研究理事会;
关键词：
st0571; intcount; count data; interval data; zero-inflated; interpolation; Understanding Society;
D O I：
10.1177/1536867X19874240
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：
In this article, I describe a community-contributed command, intcount, that fits one of several regression models for count data observed in interval form. The models available are Poisson, negative binomial, and binomial, and they can be fit in standard or zero-inflated form. I illustrate the command with an application to analysis of data from the UK Understanding Society survey on the demand for healthcare services.
引用
收藏
页码：645 / 666
页数：22
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