摘要
目的介绍Hurdle模型及其在医学零过多计数资料中的应用。方法采用logit-Poisson Hurdle模型分析2周内居民就诊次数的数据。结果居民决定是否去医院就诊存在性别和年龄的差异;居民的收入、两周内患病次数、疾病导致的活动减少天数是影响过去2周内就诊次数多少的主要因素。结论 Hurdle模型可有效分析零过多计数资料。
Objective：To introduce Hurdle model and its application in medical count data with zero extra.Methods：We employed the logit-Poisson Hurdle model to the the data of the number of doctor visits.Results：The gender and age of the residents decided whether or not to visit doctor.The income,the times of illnesses in past two weeks and the number of days of reduced activity in the past two weeks due to illness or injury were the factors of how many the number of the resident visited doctor in the past two weeks.Conclusion：Hurdle model takes the zero-extra into account and could analyze zero-inflated count data efficiently.
出处
《中国卫生统计》
CSCD
北大核心
2010年第6期603-605,共3页
Chinese Journal of Health Statistics
基金
江苏省教育厅高校哲学社会科学研究基金资助项目(2010SJB790037)
山西医科大学博士启动基金(03200912)
