Birthweight-specific neonatal health: With application on data from a tertiaryhospital in Tanzania
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis [Artistic work]
The following study analyzes birthweight-specific neonatal health using a combination
of a mixture model and logistic regression: the extended Parametric Mixture of
Logistic Regression. The data are collected from the Obstetric database at Muhimbili
National Hospital in Dar es Salaam, Tanzania and the years 2009 -2013 are used in
the analysis. Due to rounding in the birthweight data a novel method to adjust for
rounding when estimating a mixture model is applied. The influence of rounding on
the estimates is then investigated.
A three-component model is selected. The variables used in the analysis of neonatal
health are early neonatal mortality, if the mother has HIV, anaemia, is a private patient
and if the neonate is born after 36 completed weeks of gestation. It can be concluded
that the mortality rates are high especially for low birthweights (2000 or less) in the
estimated first and second components. However, due to wide confidence bounds it is
hard to draw conclusions from the data.
Place, publisher, year, edition, pages
2014. , 78 p.
Birthweight, heaping, neonatal mortality, Gaussian mixture model
Medical and Health Sciences Public Health, Global Health, Social Medicine and Epidemiology Probability Theory and Statistics Obstetrics, Gynecology and Reproductive Medicine
IdentifiersURN: urn:nbn:se:uu:diva-227531OAI: oai:DiVA.org:uu-227531DiVA: diva2:730118
Master Programme in Statistics
2014-06-03, Ekonomikum, Uppsala, 08:55 (English)
Persson, Inger, Phd
Yang, Fan, Proffessor