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Score Tests for Zero-Inflated Poisson Models

2002; Elsevier BV; Volume: 40; Issue: 1 Linguagem: Inglês

10.1016/s0167-9473(01)00104-9

1872-7352

Naratip Jansakul, John Hinde,

Statistical Methods and Inference

In many situations count data have a large proportion of zeros and the zero-inflated Poisson regression (ZIP) model may be appropriate. A simple score test for zero-inflation, comparing the ZIP model with a constant proportion of excess zeros to a standard Poisson regression model, was given by van den Broek (Biometrics, 51 (1995) 738–743). We extend this test to the more general situation where the zero probability is allowed to depend on covariates. The performance of this test is evaluated using a simulation study. To identify potentially important covariates in the zero-inflation model a composite test is proposed. The use of the general score test and the composite procedure is illustrated on two examples from the literature. The composite score test is found to suggest appropriate models.