Jan 1, 2011 · In this paper, we propose new marginalized models for zero-inflated clustered count data using random effects. The marginalized models are ...

Min and Agresti (2005) proposed random effect hurdle models for zero-inflated clustered count data with two-part random effects for a binary component and a ...

In this paper, we propose new marginalized models for zero-inflated clustered count data using random effects. The marginalized models are similar to Dobbie and ...

In this paper, we propose new marginalized models for zero-inflated clustered count data using random effects. The marginalized models are similar to Dobbie and ...

Analysis of zero-inflated clustered count data: A marginalized model approach · Keunbaik Lee, Y. Joo, +1 author. D. Harper · Published in Computational Statistics ...

We present a novel Bayesian approach for analyzing such data. In order to model these features, we combine the Conway-Maxwell-Poisson distribution which allows ...

Abstract. In this article, we present new commands for modeling count data using marginalized zero-inflated distributions.

To analyze the multi-year IFS data, we propose a novel longitudinal method of a GEE-based marginal regression model. We use a zero-inflated mixture model with a ...

Jan 4, 2021 · To analyze the multiyear IFS data, we propose a novel longitudinal method of a generalized estimating equations based marginal regression model.

This paper proposes to use an additive semiparametric Poisson regression in modeling zero-inflated clustered data. Two estimation methods are exploited in ...