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...

Robust Nonlinear Regression: with Applications using R develops new methods in robust nonlinear regression and implements a set of objects and functions in S-language, under SPLUS and R software.

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.