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Factors associated with mortality from tuberculosis in Iran: an application of a generalized estimating equation-based zero-inflated negative binomial model to national registry data
Fatemeh Sarvi, Abbas Moghimbeigi, Hossein Mahjub, Mahshid Nasehi, Mahmoud Khodadost
Epidemiol Health. 2019;41:e2019032  Published online July 9, 2019
DOI: https://doi.org/10.4178/epih.e2019032

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Application of zero-inflated negative binomial mixed model to human microbiota sequence data
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Application of zero-inflated negative binomial mixed model to human microbiota sequence data
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A bivariate zero-inflated negative binomial regression model for count data with excess zeros
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Simulation on the Zero Inflated Negative Binomial (ZINB) to Model Overdispersed, Poisson Distributed Data
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Generalized Estimating Equations for Zero-Inflated Spatial Count Data
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Estimation for zero-inflated beta-binomial regression model with missing response data
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PERFORMA PROPORSI ZERO-INFLATION PADA REGRESI ZERO-INFLATED NEGATIVE BINOMIAL (STUDI KASUS: DATA TETANUS NEONATORUM DI JAWA TIMUR)
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Modeling Tetanus Neonatorum case using the regression of negative binomial and zero-inflated negative binomial
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A generalized Bayesian nonlinear mixed‐effects regression model for zero‐inflated longitudinal count data in tuberculosis trials
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