Abstract:
Infant mortality is one of the commonly used mortality indicators in Indonesia. Cases of
infant mortality reflect the level of social welfare and health status of a nation for the
realization of health development in a country. One of the ways to reveal the high
number of infant mortality cases is by knowing the most significant factors that cause
infant mortality. The results obtained from this study experienced overdispersion in
Poisson regression, so that in the analysis using negative binomial regression, a
significant variable was obtained, namely the number of medical personnel with the best
AIC in negative binomial regression for a significant variable in reduction II with an
AIC value of 60.42
