Power analysis for zero-inflated Poisson and negative binomial generalized linear models using Monte Carlo simulation

Trent Dennis, Jordan Rubin-McGregor, Michael J. O’Connell

Type: Article

Publication Date: 2024-12-13

Citations: 0

DOI: https://doi.org/10.1080/00949655.2024.2440796

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Journal of Statistical Computation and Simulation - View

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+ PDF Chat	Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses	1989	Quang Vuong
+ PDF Chat	<b>fitdistrplus</b>: An<i>R</i>Package for Fitting Distributions	2015	Marie Laure Delignette‐Muller Christophe Dutang
+	Regression Models for Count Data in<i>R</i>	2008	Achim Zeileis Christian Kleiber Simon Jackman
+	Power and Sample Size Calculations for Studies Involving Linear Regression	1998	William D. Dupont W. Dale Plummer
+	A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives	2001	M. S. Ridout John Hinde Clarice Garcia Borges Demétrio
+	Functional Form for the Zero-Inflated Generalized Poisson Regression Model	2014	Hossein Zamanı Noriszura Ismail
+	The Zero-Inflated Poisson Model and the Decayed, Missing and Filled Teeth Index in Dental Epidemiology	1999	Dankmar Böhning Ekkehart Dietz Peter Schlattmann Luciana De Michelis Mendonça U. Kirchner
+	Sample Size Determination for Regression Models Using Monte Carlo Methods in R	2014	A. Alexander Beaujean
+ PDF Chat	The consequences of checking for zero‐inflation and overdispersion in the analysis of count data	2021	Harlan Campbell
+ PDF Chat	Assessment and Selection of Competing Models for Zero-Inflated Microbiome Data	2015	Lizhen Xu Andrew D. Paterson Williams Turpin Wei Xu