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Related Experiment Videos

A research database for improved data management and analysis in longitudinal studies

R A Bielefeld1, T S Yamashita, E F Kerekes

  • 1Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, USA.

M.D. Computing : Computers in Medical Practice
|May 1, 1995
PubMed
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This study details a robust research database designed to track medical, social, and developmental factors linked to chronic lung disease in early childhood. The system supports longitudinal data analysis for children and families.

Area of Science:

  • Pediatric Medicine
  • Developmental Psychology
  • Biostatistics

Background:

  • Chronic lung disease in early childhood presents complex medical, social, and developmental challenges.
  • Longitudinal data is crucial for understanding disease progression and associated factors.
  • Existing research databases may lack comprehensive features for such multifaceted investigations.

Purpose of the Study:

  • To develop and describe a specialized research database for a five-year prospective study.
  • To investigate the medical, social, and developmental correlates of chronic lung disease in the first three years of life.
  • To provide a robust platform for longitudinal data management and analysis.

Main Methods:

  • Utilized Ingres database management system and Statit statistical software.

Related Experiment Videos

  • Designed a database with 1300 variables per record, including longitudinal psychological test data (35 tests, 5 repetitions).
  • Implemented a four-layer, menu-driven user interface with automated functions for data verification, value imputation, backup, and analysis.

    • Main Results:

    • The database successfully accommodates extensive longitudinal data on children, parents, and interactions.
    • Automated functions streamline complex data management tasks, including handling missing and calculated values.
    • The system supports data verification, reporting, bulk extraction, and statistical analysis.

    Conclusions:

    • The developed research database provides a comprehensive and efficient tool for investigating chronic lung disease in early childhood.
    • The integrated system facilitates in-depth longitudinal analysis of medical, social, and developmental factors.
    • This database infrastructure supports robust scientific inquiry into pediatric chronic lung disease.