Analysis of Biomedical Data by Time-Sharing Computers. 1. Non-linear Regression Analysis

Abstract

Analysis of biomedical data frequently involves obtaining a mathematical equation to describe numerical data. Because of the nature of biological systems, the desired equations are often not linear. In the past, such non-linear systems were often avoided because mathematical methods for analyzing them were tedious and, occasionally, quite imprecise. Modern computers have made such systems far easier to work with. The publication describes a program for obtaining these non-linear 'regression' equations. The program described has a number of advantageous properties: (1) it can be used for almost any type of equation, including exponential, logarithmic, and power functions; (2) it is written in the BASIC program language, which can be learned by a person without computer knowledge in only a few hours; (3) it is designed for time-sharing computers, so that the user may readily interact with the computer and modify the equations being used at will; and (4) the output of the program includes sufficient statistical parameters to enable further evaluation of the results. In addition to giving the program, the publication gives full instructions on its use, suggestions for modifying the program for additional applications, and several illustrative examples.

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Document Details

Document Type
Technical Report
Publication Date
Feb 26, 1970
Accession Number
AD0704858

Entities

People

  • David L. Horwitz
  • Louis D. Homer

Organizations

  • Naval Medical Research Center

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Biomedical Research
  • Computers
  • Confidence Limits
  • Convergence
  • Data Science
  • Equations
  • Information Science
  • Iterations
  • Language
  • Linear Regression Analysis
  • Linear Systems
  • New York
  • Regression Analysis
  • Residuals
  • Statistical Algorithms
  • Systems Biology

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Computer Science.
  • Theoretical Analysis.

Technology Areas

  • Biotechnology