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An application of a microcomputer compiler program to multiple logistic regression analysis.

R Sakai1

  • 1Department of Epidemiology, School of Health Sciences, Faculty of Medicine, University of the Ryukyus, Okinawa, Japan.

Medical Informatics = Medecine Et Informatique
|April 1, 1988
PubMed
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Microcomputer programs for multivariate analysis, specifically multiple logistic regression, were developed. Using a BASIC compiler significantly reduced computation time from 30 minutes to 4 minutes, proving its efficiency.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Computer Science

Background:

  • Multivariate analysis is crucial for epidemiological studies.
  • Microcomputers offer potential for complex statistical analyses.
  • Previous methods using interpreters were computationally intensive.

Purpose of the Study:

  • To assess the utility of microcomputers for multivariate analysis.
  • To develop and evaluate microcomputer programs for multiple logistic regression.
  • To compare the performance of interpreted vs. compiled BASIC programs.

Main Methods:

  • Developed multiple logistic regression analysis programs in BASIC.
  • Implemented programs using both interpreter and compiler systems.
  • Tested programs with epidemiological data (6 variables, 63 case-control sets).

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Main Results:

  • The interpreter-based program required approximately 30 minutes for analysis.
  • The compiled BASIC program completed the same analysis in under 4 minutes.
  • Matrix computation time increased with data size and variable number.

Conclusions:

  • Microcomputers are viable tools for multivariate analysis in epidemiology.
  • BASIC compilers dramatically enhance computational efficiency for logistic regression.
  • These programs facilitate data integration with spreadsheet software.