A test of inflated zeros for binomial regression models

发布时间：2019-05-30 作者：浏览次数：

Speaker:	叶鹏	DateTime:	2019年6月3号上午10：30-11：30
Brief Introduction to Speaker: 叶鹏，对外经贸大学。		Place:	6号楼415会议室
Abstract:Binomial regression models are commonly applied to proportion data such as mortality and infection rates of diseases. However, it is often the case that the responses may exhibit excessive zeros; in such cases the zero-inflated binomial (ZIB) models can be applied instead. In practice, it is important to test if there are excessive zeros in the outcome to help choosing the appropriate model. The binomial model can yield biased estimates if there are excessive zeros, while ZIB models may be unnecessarily complex and hard to interpret, and even face the convergent issues, if there are no excessive zeros. In this paper, we develop a new test for testing zero-inflation in binomial regression models by directly comparing the amount of observed zeros with which would be expected under the binomial regression model. A closed form of the test statistic as well as the asymptotic properties of the tests is derived based on estimating equations. Our systematic simulation studies show that the ...

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