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This book uses global household data to examine the prevalence, trends and geographic variation of female genital mutilation (FGM) around the world. The book also addresses the debate between those who argue for a total ban on these practices and those who would like to see the liberalisation of some of these practices.

This book presents both theoretical contributions and empirical applications of advanced statistical techniques including geo- additive models that link individual measures with area variables to account for spatial correlation; multilevel models that address the issue of clustering within family and household; multi-process models that account for interdependencies over life-course events and non-random utilization of health services; and flexible parametric alternatives to existing intensity models. These analytical techniques are illustrated mainly through modeling maternal and child...

In order to assist a hospital in managing its resources and patients, modelling the length of stay is highly important. Recent health scholarship and practice has largely remained empirical, dwelling on primary data. This is critically important, first, because health planners generally rely on data to establish trends and patterns of disease burden at national or regional level. Secondly, epidemiologists depend on data to investigate possible risk factors of the disease. Yet the use of routine or secondary data has, in recent years, proved increasingly significant in such endeavours. Various...

This book presents advanced statistical techniques used to analyze demographic data, which it illustrates through modelling maternal and child health in the African context using data from Demographic and Health Surveys in several countries in the continent.