Search Results
##search.searchResults.foundPlural##
-
Generalized Poisson Regression Type-II at Jambi City Health Office
One statistical analysis is regression analysis. One regression that has the assumption of poisson distribution is poisson regression which has the assumption of poisson distribution. Neonatal deaths are still very...Corry Sormin
,
Gusmanely Z
,
Nurhidayah Nurhidayah
-
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
,
Fitri Mudia Sari
,
Nurul Fiskia Gamayanti
,
Iut Tri Utami
-
Factors Affecting the Number of Infant Morality Cases in West Java for the 2019-2020 Period using Generalized Poisson Regression (GPR)
The number of infant mortality cases is data in the form of counts which is modeled by Poisson regression. There is an assumption that needs to be met, namely equidispersion. Equidispersion is a condition in which...Kartika Dewi
,
Nurul Gusriani
,
Kankan Parmikanti
-
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
,
Niken Rarasati
,
Gusmanely Z
,
Hamidreza Kashefi
-
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
,
Gusmanely Z