Advances in Modelling Maternal and Child Health in Africa: What Have We Learned and What Is Next?

Gebrenegus Ghilagaber ()
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Gebrenegus Ghilagaber: Stockholm University, Department of Statistics

Chapter Chapter 16 in Advanced Techniques for Modelling Maternal and Child Health in Africa, 2014, pp 321-325 from Springer

Abstract: Abstract Demographic and Health Surveys (DHS) have played important role in filling the gap in the availability of survey data in developing countries. The samples drawn in the DHS use stratified multistage cluster sampling designs, and gather retrospective data on fertility history, and other background information related to maternal and child health by interviewing selected women in fertile ages. Thus, any statistical analysis of such data drawn from a complex survey needs to account for the sampling design, in addition to account for data quality. For instance, DHS datasets include geographical information that could identify spatial patterns to target health policies. Such information needs to be incorporated when the analyses of such data are undertaken.

Keywords: Unobserved Heterogeneity; Bayesian Variable Selection; Health Input; Standard Likelihood Ratio Test; Piecewise Constant Hazard (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-94-007-6778-2_16

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DOI: 10.1007/978-94-007-6778-2_16

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