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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 health in the African context, using data from
demographic and health surveys. Â In the past, the estimation
of levels, trends and differentials in demographic and health
outcomes in developing countries was heavily reliant on indirect
methods that were devised to suit limited or deficient data. In
recent decades, world-wide surveys like the World Fertility Survey
and its successor, the Demographic and Health Survey have played an
important role in filling the gap in survey data from developing
countries. Such modern demographic and health surveys enable
investigators to make in-depth analyses that guide policy
intervention strategies, and such analyses require the modern and
advanced statistical techniques covered in this book. Â The
text is ideally suited for academics, professionals, and decision
makers in the social and health sciences, as well as others with an
interest in statistical modelling, demographic and health surveys.
Scientists and students in applied statistics, epidemiology,
medicine, social and behavioural sciences will find it of value.
 Â
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 health in the African context, using data from
demographic and health surveys. In the past, the estimation of
levels, trends and differentials in demographic and health outcomes
in developing countries was heavily reliant on indirect methods
that were devised to suit limited or deficient data. In recent
decades, world-wide surveys like the World Fertility Survey and its
successor, the Demographic and Health Survey have played an
important role in filling the gap in survey data from developing
countries. Such modern demographic and health surveys enable
investigators to make in-depth analyses that guide policy
intervention strategies, and such analyses require the modern and
advanced statistical techniques covered in this book. The text is
ideally suited for academics, professionals, and decision makers in
the social and health sciences, as well as others with an interest
in statistical modelling, demographic and health surveys.
Scientists and students in applied statistics, epidemiology,
medicine, social and behavioural sciences will find it of value.
This work features an in-depth quantitative and qualitative set of
studies on family issues in early adulthood among young adults born
in Sweden of Swedish, Polish, and Turkish origins. The results are
analyzed to explore the educational attainment of Swedish young
adults of different origins, their transitions to marriage and
cohabitation, inter-ethnic partnering, and the balance between work
and family. The quantitative analyses are further enhanced by
anthropologists' examinations of transitions to adulthood by young
men and women. These analyses add depth to the survey findings, and
are the basis for creating a new understanding of the diversity
among these communities in Sweden. This integrated volume
represents the work of an interdisciplinary team of demographers,
sociologists, and anthropologists whose findings are compared to
immigration and family transitions in Sweden, Norway, and other
similar communities throughout Europe.
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