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Infant Mortality Case: An Application of Negative Binomial Regression in order to Overcome Overdispersion in Poisson Regression
Infant mortality is an indicator to determine the degree of public health. Infant mortality is death that occurs in the period from birth to before the age of one. The high rate of infant mortality indicates that the...Fadhilah Fitri
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Fitri Mudia Sari
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Nurul Fiskia Gamayanti
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Iut Tri Utami
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Negative Binomial Regression in Underdispersion(Case Study: Neonatal Mortality in Jambi City)
Neonatalis is birth before 28 days of a baby. Factors that are considered to affect neonatal mortality include the number of visits in the 1 st and 3 rd trimester, the number of pregnant women receiving Tetanus...Corry Sormin
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Gusmanely Z
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Multilevel Modeling on Underdispersion Data
Binomial negative regression is able to handle poisson regression problem with underdispersion assumption. When the data has hierarchy and level that need to be calculated, regression is no longer appropriate to...Corry Sormin
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Niken Rarasati
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Gusmanely Z
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Hamidreza Kashefi
