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dc.contributor.authorWakibi, Samwel N
dc.date.accessioned2013-05-21T12:07:31Z
dc.date.available2013-05-21T12:07:31Z
dc.date.issued2002
dc.identifier.citationA project submitted in partial fulfilment of the requirements for the degree of Masters of Science in Population Studies University of Nairobien
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/24152
dc.description.abstractDue to non-functioning and incomplete vital registration systems in many developing countries, estimates of mortality is by indirect methods which derive data from retrospective information obtained at the time of national censuses or from specialized demographic sample surveys. Most of these methods suffer from various weaknesses varying from low quality of original data, large volume of data requirement, historical data i.e not up-to-date and hence likely to suffer recall errors, high costs of data collection, and are very complicated and difficult to use especially in the field. Preceding Birth Technique is an indirect method providing early childhood mortality estimates derived from minimal data about preceding births and their survival status. It is simple, easy to administer even in the field and gives almost up-to-date estimates. The proportion dead among the preceding births, IT, has been found to estimate child mortality by age two years. This study seeks to estimate early child mortality in Kenya and to establish reliability of the technique in producing differential effects from mothers' socio-economic characteristics. The findings are inconclusive using medical data. While results derived from survival data on all preceding births reported in the survey indicate that the technique is suitable in the , , moderate to high mortality zones, though 'if consistently underestimate mortality. Comparing medical assisted proportion dead, ITm, to all preceding births, ITa, derived from • data based on two years reporting period gave statistically significant differences while data based on five years reporting period improved the results. The significant difference is therefore attributed to selection bias and small sample sizes, which could not give meaningful results. Comparing IT to life table proportion, q(2) provided plausible results in overall for all preceding births reported in the survey and in particular in the moderate to high early child mortality zones in Kenya.en
dc.language.isoenen
dc.titleEstimating child mortality in Kenya using preceding birth technique with DHS 1998 dataen
dc.typeThesisen
local.publisherInstitute of population Studies and researchen


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