£107.61

Springer Advanced Modelling Maternal and Child Health in Africa

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Description

This academic text provides a deep look into advanced statistical techniques for analyzing demographic data. Focused on the African context, the book uses data from Demographic and Health Surveys across several countries to model maternal and child health outcomes. It serves as a vital resource for researchers and students interested in population analysis and demographic methods. The content covers both theoretical contributions and practical empirical applications. Readers will learn how to apply complex models to real-world datasets, making it a practical guide for those working in public health or sociology. By examining the relationship between individual measures and area variables, the text helps clarify how spatial correlation and clustering within families affect health data interpretation.

Key Features

Covers advanced statistical techniques used to analyze complex demographic data sets.

Provides empirical applications using Demographic and Health Surveys from multiple African countries.

Explains geo-additive models that link individual measures with area variables to account for spatial correlation.

Includes multilevel models designed to address clustering issues within families and other groups.

Offers a balance of theoretical contributions and practical, real-world data applications.

Part of the Springer Series on Demographic Methods and Population Analysis, volume 34.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 August 2016
Listed Since
18 August 2016

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