Generalized hurdle count data models based on interpretable machine learning with an application to health care demand

A NEW MULTIVARIATE ZERO-INFLATED HURDLE MODEL WITH APPLICATIONS IN AUTOMOBILE INSURANCE

(2022) Pengcheng Zhang et al.   Astin Bulletin

Boosting Poisson regression models with telematics car driving data

(2021) Guangyuan Gao et al.   MACHINE LEARNING

Modeling Hospitalization Decision and Utilization for the Elderly in China

(2021) Xin Xu et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

National Health Care Spending In 2020: Growth Driven By Federal Spending In Response To The COVID-19 Pandemic

(2021) Micah Hartman et al.   HEALTH AFFAIRS

Generalized Zero-Adjusted Models to Predict Medical Expenditures

(2021) Xin Xu et al.   Computational Intelligence and Neuroscience

ADDRESSING IMBALANCED INSURANCE DATA THROUGH ZERO-INFLATED POISSON REGRESSION WITH BOOSTING

(2020) Simon C.K. Lee   Astin Bulletin

Subgroup analysis of zero-inflated Poisson regression model with applications to insurance data

(2019) Kun Chen et al.   INSURANCE MATHEMATICS & ECONOMICS

A semiparametric marginalized zero-inflated model for analyzing healthcare utilization panel data with missingness

(2019) Tian Chen et al.   JOURNAL OF APPLIED STATISTICS

A Dynamical and Zero-Inflated Negative Binomial Regression Modelling of Malaria Incidence in Limpopo Province, South Africa

(2019) Gbenga J. Abiodun et al.   International Journal of Environmental Research and Public Health

Modeling zero-modified count and semicontinuous data in health services research Part 1: background and overview

(2016) Brian Neelon et al.   STATISTICS IN MEDICINE

Marginalized zero-inflated negative binomial regression with application to dental caries

(2015) John S. Preisser et al.   STATISTICS IN MEDICINE

A flexible regression model for count data

(2010) Kimberly F. Sellers et al.   Annals of Applied Statistics

A Bayesian model for repeated measures zero-inflated count data with application to outpatient psychiatric service use

(2010) Brian H Neelon et al.   STATISTICAL MODELLING