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[Hazard function and life table: an introduction to the failure time analysis].

K Matsushita, H Inaba

    Jinko Mondai Kenkyu. [Journal of Population Problems]
    |April 1, 1987
    PubMed
    Summary

    Failure time analysis, a regression technique, is gaining traction in demography. This study introduces its core concepts, including hazard functions and proportional hazard models, to Japanese demographers.

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    Area of Science:

    • Demography
    • Biostatistics

    Background:

    • Failure time analysis is increasingly utilized in demographic research.
    • Its concepts are not widely known or discussed among Japanese demographers.
    • It can be framed within regression analysis and event history analysis.

    Purpose of the Study:

    • To introduce the fundamental concepts of failure time analysis to demographers in Japan.
    • To bridge the gap in understanding between this statistical method and demographic research practices.
    • To highlight the utility of hazard functions and related models in demographic studies.

    Main Methods:

    • Comparison of hazard functions with traditional life tables.
    • Explanation of failure time analysis for exponential, normal, and proportional hazard models.
    Keywords:
    Data AnalysisDemographic AnalysisDemographic FactorsLife Table MethodMathematical ModelModels, TheoreticalMortalityPopulationPopulation DynamicsResearch MethodologyTime Factors

    Related Experiment Videos

  • Introduction of the multiple decrement life table for cause-specific hazard rates.

    • Main Results:

    • The force of mortality is demonstrated to be interchangeable with the hazard rate.
    • Basic failure time analysis models (exponential, normal, proportional hazards) are summarized.
    • The multiple decrement life table is presented as a practical application for analyzing lifetime data with competing risks.

    Conclusions:

    • Failure time analysis offers valuable tools for demographic research, particularly for analyzing event occurrences over time.
    • Clarifying the concept of hazard functions is crucial for their adoption in Japanese demography.
    • Further exploration of these methods can enhance the analysis of complex demographic phenomena.