<![CDATA[Comentarios al libro: ADVANCED TECHNIQUES FOR MODELLING MATERNAL AND CHILD HEALTH IN AFRICA]]> 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.]]> Sat, 06 Jun 2026 06:49:54 +0000 es Copyright 2021 BiblioEteca Technologies SL