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Regression-like analysis of birth interval sequences

H I Braun

    Demography
    |May 1, 1980
    PubMed
    Summary
    This summary is machine-generated.

    This study analyzed birth interval data from historical populations using generalized linear models. Findings reveal a consistent, simple structure across datasets, influenced by maternal age, parity, and marriage duration.

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    Area of Science:

    • Demography
    • Biostatistics
    • Statistical modeling

    Background:

    • Understanding birth intervals is crucial for population dynamics and reproductive health research.
    • Historical demographic data offers insights into long-term fertility patterns.

    Purpose of the Study:

    • To examine the structure of birth interval data using generalized linear models.
    • To investigate the influence of maternal age, parity, and marriage duration on birth intervals.
    • To identify commonalities in birth interval patterns across different historical populations.

    Main Methods:

    • Utilized a family of generalized linear models.
    • Applied models to birth interval data from three distinct historical populations.
    • Analyzed the relative importance of demographic factors.

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    Main Results:

    • Identified a common and relatively simple structure underlying the birth interval data.
    • Demonstrated the significant impact of maternal age, parity, and marriage duration.
    • Validated the applicability of the proposed models across diverse datasets.

    Conclusions:

    • The structure of birth intervals exhibits a consistent pattern across historical populations.
    • Generalized linear models provide a robust framework for analyzing fertility data.
    • Empirical models have practical applications in demographic and epidemiological studies.