Marginalized zero-inflated Poisson models with missing covariates (original) (raw)

The Zero-Inflated Poisson Model and the Decayed, Missing and Filled Teeth Index in Dental Epidemiology

Peter Schlattmann

Journal of the Royal Statistical Society Series A: Statistics in Society, 1999

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Multiple imputation of dental caries data using a zero-inflated Poisson regression model

Sally Stearns

Journal of Public Health Dentistry, 2010

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Effect of covariate misspecifications in the marginalized zero-inflated Poisson model

Samuel Iddi

Monte Carlo Methods and Applications, 2017

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Review and Recommendations for Zero-Inflated Count Regression Modeling of Dental Caries Indices in Epidemiological Studies

John Stamm

Caries Research, 2012

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Statistical model for overdispersed count outcome with many zeros: an approach for direct marginal inference

Kwabena Doku-Amponsah

2015

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Statistical model for overdispersed count outcome with many zeros : an approach for marginal inference

Kwabena Doku-Amponsah

2016

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Poisson and negative binomial regression models for zero-inflated data: an experimental study

Selahattin Kaçıranlar

Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics

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Zero-inflated count regression models with applications to some examples

bayo lawal

Quality & Quantity, 2012

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Estimation in zero-inflated binomial regression with missing covariates

Aliou DIOP

Statistics, 2019

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Estimation Techniques for Regression Model with Zero-inflated Poisson Data

Shakhawat Hossain

International Journal of Statistics and Probability, 2015

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A Marginalized Zero-Inflated Negative Binomial Regression Model with Overall Exposure Effects

John Stamm

2014

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Interpreting Poisson Regression Models in Dental Caries Studies

May Chun Mei Wong

Caries research, 2018

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The analysis of zero-inflated count data: Beyond zero-inflated Poisson regression

Ann Buysse, Olivia Smet, Tom Loeys

British Journal of Mathematical and Statistical Psychology, 2012

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A New Regression Model for the Analysis of Overdispersed and Zero-Modified Count Data

MARINHO G. ANDRADE

Entropy, 2021

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Analysis of dental caries using generalized linear and count regression models

Parameshwar Pandit

The Romanian Statistical Review, 2013

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A score test for overdispersion in zero-inflated poisson mixed regression model

Geoff McLachlan

Statistics in Medicine, 2007

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Improved estimators for the zero-inflated Poisson regression model in the presence of multicollinearity: simulation and application of maternal death data

Mr. Talha Omer

Communications in Statistics: Case Studies, Data Analysis and Applications

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Detecting overdispersion in count data: A zero-inflated Poisson regression analysis

Maryati Mohamed

Journal of Physics: Conference Series, 2017

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A Re-analysis of Caries Rates in a Preventive Trial using Poisson Regression Models

Kauko Mäkinen

Journal of Dental Research, 1994

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A zero-inflated overdispersed hierarchical Poisson model

Geert Verbeke

Statistical Modelling, 2014

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Marginally-specified Mean Models for Counts with Mixture Distributions

Habtamu K Benecha

2016

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Models for Zero Truncated Count Data in Medicine and Insurance

Dr. OLUMIDE S ADESINA

Theory and Practice of Mathematics and Computer Science , 2021

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Modelling Excess Zeros in Count Data with Application to Antenatal Care Utilisation

Rotimi F Afolabi

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Modeling Longitudinal Count Data with Missing Values: A Comparative Study

Ahmed M . Gad

Applied mathematical sciences, 2016

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Zero-Inflated Poisson Regression Analysis On Frequency Of Health Insurance Claim PT. XYZ

Yogo Purwono

Proceedings of the 12th International Conference on Business and Management Research (ICBMR 2018), 2019

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Can Generalized Poisson model replace any other count data models? An evaluation

Sebastian George

Clinical Epidemiology and Global Health

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Zero-inflated generalized Poisson regression model with an application to domestic violence data

Felix Famoye

2006

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Modelling Count Data; A Generalized Linear Model Framework

Maxwell Obubu

Scientific and Academic Publisher, 2018

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A Marginalized Model for Zero-Inflated, Overdispersed, and Correlated Count Data

Samuel Iddi

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On statistical testing and mean parameter estimation for zero-modification in count data regression

Jochen Einbeck

2016

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The Cos-Poisson model with a novel count regression analysis

Dr. Hassan Bakouch

Hacettepe Journal of Mathematics and Statistics

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Analysis of zero-inflated clustered count data: A marginalized model approach

Dee Harper

Computational Statistics & Data Analysis, 2011

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On Zero-Inflated Hierarchical Poisson Models with Application to Maternal Mortality Data

Samuel Iddi

International Journal of Mathematics and Mathematical Sciences

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