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Related Experiment Videos

An efficient SAS program for extract stratification of person-years

J Sun1, E Shibata, M Kamijima

  • 1Department of Hygiene, Nagoya University, School of Medicine, Japan.

Computers in Biology and Medicine
|January 1, 1997
PubMed
Summary

A new Statistical Analysis System program efficiently stratifies person-years for calculating standardized mortality and morbidity ratios. This program is significantly faster than Macaluso's "Method B" for cohort studies.

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Area of Science:

  • Epidemiology
  • Biostatistics
  • Health Informatics

Background:

  • Accurate calculation of standardized mortality ratios (SMR) and standardized morbidity ratios (SMR) is crucial for epidemiological research.
  • Stratification of person-years is a key step in these calculations, requiring efficient computational methods.
  • Existing methods, such as Macaluso's "Method B", may present computational challenges in terms of speed.

Purpose of the Study:

  • To describe an efficient Statistical Analysis System (SAS) computer program for the exact stratification of person-years.
  • To enable precise calculation of expected deaths or disease cases in cohort studies.
  • To compare the computational efficiency of the new program against Macaluso's "Method B".

Main Methods:

  • Development of a novel SAS program for precise person-year stratification.

Related Experiment Videos

  • Utilizing the program to determine expected outcomes for standardized mortality ratio (SMR) and standardized morbidity ratio (SMR) calculations.
  • Comparative analysis of program speed against Macaluso's "Method B" under identical category width conditions.

    • Main Results:

    • The developed SAS program provides an efficient method for exact person-year stratification.
    • The new program demonstrates considerably faster execution speeds compared to Macaluso's "Method B".
    • Efficiency gains are observed when category widths across all time factors are uniform.

    Conclusions:

    • The described SAS program offers a computationally superior alternative for person-year stratification in epidemiological studies.
    • This advancement facilitates more rapid and accurate calculation of standardized mortality ratios and standardized morbidity ratios.
    • The program's efficiency is particularly beneficial for large cohort analyses requiring precise risk assessment.