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A parametric algorithm for computing model period and cohort human survival functions.

C J Mode, M E Jacobson

    International Journal of Bio-Medical Computing
    |September 1, 1984
    PubMed
    Summary
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    A new parametric algorithm computes human population survival functions. This method aids in population projections by calculating period and cohort survival based on life expectancy at birth.

    Area of Science:

    • Demography
    • Biostatistics
    • Mathematical Modeling

    Background:

    • Accurate human population projections rely on robust survival function calculations.
    • Existing methods may lack flexibility in accommodating diverse life expectancy ranges.

    Purpose of the Study:

    • To develop a parametric algorithm for computing model cohort and period survival functions.
    • To provide a method for population projections using life expectancy at birth.

    Main Methods:

    • Developed a parametric algorithm utilizing two levels of parameters.
    • Algorithm calculates period survival functions based on life expectancy at birth.
    • Calculates cohort survival functions using a time series of life expectancies.

    Main Results:

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    • The algorithm computes both period and cohort survival functions.
    • It accommodates a wide range of life expectancies at birth (35-110 years) for both sexes.
    • Provides a flexible approach for population projection modeling.

    Conclusions:

    • The developed parametric algorithm offers an efficient method for generating survival functions.
    • This tool enhances the accuracy and flexibility of human population projections.
    • Applicable across a broad spectrum of demographic scenarios and life expectancies.