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Child survivorship estimation: methods and data analysis.

G Feeney

    Asian and Pacific Population Forum
    |July 1, 1991
    PubMed
    Summary
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    The Brass method effectively estimates child mortality using survivorship data. Analyzing these estimates with other information, like parity distributions, yields more reliable mortality trends, even for older women.

    Area of Science:

    • Demography
    • Public Health
    • Statistical Methods

    Background:

    • The Brass method is a widely used technique for estimating infant and child mortality.
    • Child survivorship data provides valuable insights into mortality patterns.

    Purpose of the Study:

    • To highlight the critical importance of comprehensive data analysis in interpreting mortality estimates.
    • To demonstrate effective analytical techniques for child survivorship data.

    Main Methods:

    • Application and refinement of the original Brass method over two decades.
    • Analysis of child survivorship data using techniques such as plotting completed parity distributions.
    • 'Time-plotting' mean numbers of children ever born from successive censuses.
    Keywords:
    AmericasAsiaBrass TechnicCensusChild MortalityChild SurvivalData AnalysisData CollectionData SourcesDemographic AnalysisDemographic FactorsDeveloping CountriesError SourcesEstimation TechnicsFertilityFertility MeasurementsIndonesiaInfant MortalityLatin AmericaLength Of LifeMalaysiaMeasurementMethodological StudiesMexicoModels, TheoreticalMortalityNorth AmericaParityPopulationPopulation DynamicsPopulation StatisticsResearch MethodologySoutheastern AsiaSurvivorshipThailandTime Factors

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    Main Results:

    • Child survivorship data, when analyzed thoroughly, can yield reliable mortality estimates.
    • Data for older women is often more accurate than commonly assumed.
    • Examples from Sarawak, Mexico, Thailand, and Indonesia illustrate analytical approaches.

    Conclusions:

    • Mortality estimates derived from the Brass method require contextual analysis with other data for accurate interpretation.
    • Effective data analysis enhances the understanding of mortality levels and trends.
    • The utility of child survivorship data is confirmed, with specific analytical methods proving valuable.