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A parametric method for census based estimation of child mortality.

M Hartmann

    Journal of Official Statistics
    |January 1, 1991
    PubMed
    Summary
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    This study introduces a new parametric method for estimating child mortality using mothers' reports on children ever born and surviving. It improves accuracy by utilizing single-year age data and incorporating prior knowledge of mortality and fertility.

    Area of Science:

    • Demography
    • Public Health
    • Biostatistics

    Background:

    • Estimating child mortality is crucial for public health.
    • Existing methods have limitations in data utilization.
    • Accurate child mortality data informs interventions and policy.

    Purpose of the Study:

    • To present a novel parametric method for child mortality estimation.
    • To enhance the utilization of mother's reports on child survival.
    • To enable incorporation of prior demographic information.

    Main Methods:

    • Developed a parametric model for child mortality estimation.
    • Utilized single-year age reports from mothers on child survival.
    • Integrated a priori knowledge of child mortality and fertility rates.
    Keywords:
    Age FactorsChild MortalityChild SurvivalDemographic FactorsDeveloping CountriesEstimation TechnicsFamily And HouseholdFamily CharacteristicsFamily RelationshipsFertilityIndirect Estimation TechnicsLength Of LifeMicronesia-polynesiaModels, TheoreticalMortalityMothersOceaniaParentsPolynesiaPopulationPopulation CharacteristicsPopulation DynamicsResearch MethodologySamoaSurvivorship

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    Main Results:

    • The proposed method effectively estimates child mortality.
    • Demonstrated improved data utilization compared to previous methods.
    • Successfully applied the method to Western Samoa census data.

    Conclusions:

    • The new parametric method offers a robust approach to child mortality estimation.
    • Enhanced data integration improves the precision of mortality estimates.
    • This method provides a valuable tool for demographic and health research.