Fitri Mudia Sari, Khairil Anwar Notodiputro, Bagus Sartono
The infant Mortality rate (IMR) is an indicator normally used as an index of economic improvement, an indicator of the nice of existence, and the principle aspect figuring out the life expectancy of a society. IMR can be observed as longitudinal data, a combination of cross-section data and time-series data, where the same cross-section unit is observed at different times. When the data is repeatedly observed with a specific interval of time, then the time will correlate or not mutually exclusive. To overcome this, time is used as a random effect, so the appropriate method used is the Generalized Linear Mixed Model (GLMM). This study pursuits to version infant mortality data the use of the GLMM and have a look at the variables that affect the quantity of infant deaths in West Sumatra. Based on the results of the analysis, the quantity of low birth weight babies, the percentage of births assisted by non-medical personnel, the percentage of households that have access to proper sanitation services, the percentage of households that have adequate drinking water sources, the percentage of poor people, the quantity of health workers, and the quantity of health facilities has a very significant influence on infant mortality in the province of West Sumatra. © 2023 Author(s).
Department of Statistics, Universitas Negeri Padang, Padang, Indonesia; Department of Statistics, Ipb University, Bogor, Indonesia
