Statistical models for longitudinal zero-inflated count data with applications to the substance abuse field (original) (raw)
A time-varying effect model for examining group differences in trajectories of zero-inflated count outcomes with applications in substance abuse research
Robert Zucker
Statistics in medicine, 2017
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Some considerations for excess zeroes in substance abuse research
Jeffrey Korte
The American Journal of Drug and Alcohol Abuse
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Comparing statistical methods for analyzing skewed longitudinal count data with many zeros: An example of smoking cessation
Gregory McHugo
Journal of Substance Abuse Treatment, 2013
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Two-stage model for time varying effects of zero-inflated count longitudinal covariates with applications in health behaviour research
Robert Zucker
Journal of the Royal Statistical Society. Series C, Applied statistics, 2016
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New variable selection methods for zero-inflated count data with applications to the substance abuse field
Runze Li
Statistics in Medicine, 2011
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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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Predicting trajectories of substance use during emerging adulthood: Exploring the benefits of group-based trajectory modeling for zero-inflated outcomes
Kristyn A Pierce
TPM-Testing, Psychometrics, Methodology in Applied Psychology, 2020
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The importance of distribution-choice in modeling substance use data: a comparison of negative binomial, beta binomial, and zero-inflated distributions
Paula Riggs
The American Journal of Drug and Alcohol Abuse, 2015
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Random effect models for repeated measures of zero-inflated count data
Yongyi Min
Statistical Modelling, 2005
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Zero-inflated count regression models with applications to some examples
bayo lawal
Quality & Quantity, 2012
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A cautionary note regarding count models of alcohol consumption in randomized controlled trials
Nicholas Horton
BMC MEDICAL RESEARCH METHODOLOGY, 2007
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A BAYESIAN APROACH FOR ZERO-INFLATED COUNT DATA IN PSYCHOLOGICAL RESEARCH
Prof. Dr. Bozkurt Koç
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A zero-inflated overdispersed hierarchical Poisson model
Geert Verbeke
Statistical Modelling, 2014
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Zero-Inflated and Hurdle Models of Count Data with Extra Zeros: Examples from an HIV-Risk Reduction Intervention Trial
Mei-chen Hu
The American Journal of Drug and Alcohol Abuse, 2011
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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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A Method for Analyzing Longitudinal Outcomes with Many Zeros
Gregory McHugo
Mental Health Services Research, 2000
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On the implication of structural zeros as independent variables in regression analysis: applications to alcohol research
Ding-Geng Chen
Journal of Data Science, 2021
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Comparing Bayesian regression and classic zero-inflated negative binomial on size estimation of people who use alcohol
Alireza Noroozi
2016
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Assessment of Statistical Approaches to Model Low Count Data: An Empirical Application to Youth Delinquency
Lifescience Global Canada
International Journal of Statistics in Medical Research, 2015
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Zero-inflated generalized Poisson regression model with an application to domestic violence data
Felix Famoye
2006
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Grouped zero-inflated count data models of coital frequency
Simon Peters, Peter Moffatt
Journal of Population Economics, 2000
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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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Two-part regression models for longitudinal zero-inflated count data
Marco Alfo'
Canadian Journal of Statistics, 2000
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A comparison of count data models with an application to daily cigarette consumption of young persons
Muhammed Fatih Tüzen
Communications in Statistics, 2017
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Poisson Growth Mixture Modeling of Intensive Longitudinal Data: An Application to Smoking Cessation Behavior
Mariya Shiyko
Structural Equation Modeling: A Multidisciplinary Journal, 2012
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Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships
Talles Brugni
Mathematics
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Estimating the number of opiate users in Rotterdam using statistical models for incomplete count data
J. Toet, Peter van der Heijden
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Untangle the structural and random zeros in statistical modelings
Ding-Geng Chen
Journal of Applied Statistics, 2017
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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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Estimation Techniques for Regression Model with Zero-inflated Poisson Data
Shakhawat Hossain
International Journal of Statistics and Probability, 2015
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New approaches to studying problem behaviors: A comparison of methods for modeling longitudinal, categorical adolescent drinking data
Betsy Feldman
Developmental Psychology, 2009
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