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Zero inflated regression models with application to malaria surveillance data
Monthly reports of malaria cases are usually presented as count data potentially with excess zeros. The standard Poisson and negative binomial regression used for modeling such data cannot account for excess zeros and over-dispersion. Hence, this study was designed to model the annual trends in the...
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2016
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