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When the dependent variable is a count variable, assumptions of linear regression are violated. Event count models are better suited. We look at Poisson, quasi-Poisson, and negative binomial models and how to choose the right one. We learn another inverted link function and discuss the limitations of quasi-models in model comparison.

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Event Count Models

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  • 发表日期：

    2026年

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  • Benjamin E. Schlegel

摘要

When the dependent variable is a count variable, assumptions of linear regression are violated. Event count models are better suited. We look at Poisson, quasi-Poisson, and negative binomial models and how to choose the right one. We learn another inverted link function and discuss the limitations of quasi-models in model comparison.