Predictors of singleton preterm birth using multinomial regression models accounting for missing data : A birth registry-based cohort study in northern Tanzania
Background Preterm birth is a significant contributor of under-five and newborn deaths globally. Recent estimates indicated that, Tanzania ranks the tenth country with the highest preterm birth rates in the world, and shares 2.2% of the global proportion of all preterm births. Previous studies applied binary regression models to determine predictors of preterm birth by collapsing gestational age a
