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Incidence density matching with a simple SAS computer program.

N Pearce1

  • 1Department of Community Health, Wellington School of Medicine, Wellington Hospital, New Zealand.

International Journal of Epidemiology
|December 1, 1989
PubMed
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We present a simple SAS program for incidence density matching in nested case-control studies. This method simplifies control selection, overcoming computational challenges in epidemiological research.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Occupational Health

Background:

  • Incidence density matching is crucial for control selection in nested case-control studies.
  • Computational complexity has limited the application of this method.
  • A need exists for accessible tools to implement incidence density matching.

Purpose of the Study:

  • To introduce a simple and flexible SAS computer program for incidence density matching.
  • To facilitate the application of incidence density matching in nested case-control studies.
  • To demonstrate the program's utility with a real-world cohort study.

Main Methods:

  • Development of a SAS computer program for incidence density matching.
  • The program allows for multiple matching factors, with emphasis on age and gender.

Related Experiment Videos

  • The program's application is illustrated using data from an asbestos textile workers cohort study.

    • Main Results:

    • The SAS program effectively implements incidence density matching.
    • The program is flexible and handles various matching factor requirements.
    • The study demonstrates the practical application of the program in occupational epidemiology.

    Conclusions:

    • The developed SAS program simplifies incidence density matching for nested case-control studies.
    • This tool can overcome computational barriers, promoting wider use of the method.
    • The program is valuable for epidemiological research, particularly in occupational health studies.