Generalized Count Data Regression Models and Their Applications to Health Care Data

Carl Lee; Felix Famoye; Alfred Akinsete

doi:10.1007/s40745-019-00221-8

ScienceGate Book Chapters

JOURNAL ARTICLE

Generalized Count Data Regression Models and Their Applications to Health Care Data

Carl Lee Felix Famoye Alfred Akinsete

Year: 2019 Journal: Annals of Data Science Vol: 8 (2)Pages: 367-386 Publisher: Springer Science+Business Media

DOI: 10.1007/s40745-019-00221-8

Get Full-Text PDF Get Analytical Report

Keywords:

Count data Regression analysis Mathematics Statistics Regression Parametric statistics Flexibility (engineering) Generalized linear model Marginal model

Metrics

Cited By

1.34

FWCI (Field Weighted Citation Impact)

Refs

0.80

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Generalized Count Data Regression Models and Their Applications to Health Care Data

Metrics

Citation History

Topics

Related Documents

Multivariate Count Data Regression Models and Their Applications

Generalized hurdle count data regression models

Generalized bivariate count data regression models

R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization

A new regression model for count data with applications to health care data