Understanding the intricate relationships between diseases is critical for both prevention
and recovery. However, there is a lack of suitable methodologies for exploring the …

Despite major reductions in child mortality, decrease in neonatal (first month of life) deaths
has been substantially slower. To further reduce neonatal deaths, scale-up of relevant and …

Preterm birth is the leading cause of mortality in children under the age of five. In particular,
low birth weight and low gestational age are associated with an increased risk of mortality …

Reducing neonatal and child mortality is a global priority. In countries without
comprehensive vital registration data to inform policy and planning, statistical modelling is …

Background In an external validation study, model recalibration is suggested once there is
evidence of poor model calibration but with acceptable discriminatory abilities. We identified …

Infant mortality is an important health measure in a population as a crude indicator of the
poverty and socioeconomic level. It also shows the availability and quality of health services …

Survival models are a popular tool for the analysis of time to event data with applications in
medicine, engineering, economics, and many more. Advances like the Cox proportional …

Objectives The objectives of this study are to construct the high definition phenotype (HDP),
a novel time-series data structure composed of both primary and derived parameters, using …

Introduction Infant mortality is a key population health indicator, and accurate cause of death
reporting is necessary to design infant mortality prevention strategies. Death certificates and …

A limited number of studies have utilized multiple causes of death to investigate infant
mortality patterns. The purpose of the present study was to examine the risk distribution of …