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TRACK: a FORTRAN program for calculating the Foulkes-Davis tracking index
1USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111.
Computers in Biology and Medicine
|January 1, 1989
Summary
This study introduces a program to calculate the Foulkes-Davis tracking index. This index quantifies the likelihood that measurement curves for two random individuals will not intersect.
Area of Science:
- Biostatistics
- Quantitative Biology
- Data Analysis
Background:
- Understanding variability in biological measurements is crucial.
- Assessing the stability of individual measurement trajectories over time is important.
- The Foulkes-Davis tracking index provides a statistical measure for curve non-intersection.
Purpose of the Study:
- To present a computational program for calculating the Foulkes-Davis tracking index.
- To enable researchers to quantify the probability of non-crossing measurement curves for two individuals.
- To facilitate the assessment of measurement curve stability and individual distinctiveness.
Main Methods:
- Development of a software program implementing the Foulkes-Davis tracking index calculation.
- Utilizing statistical algorithms to determine the probability of curve non-intersection.
- Inputting measurement data for two individuals to generate the index value.
Main Results:
- The program successfully calculates the Foulkes-Davis tracking index.
- The index provides a quantitative measure of the probability that measurement curves will not cross.
- Demonstration of the program's utility in assessing tracking stability.
Conclusions:
- The developed program offers a valuable tool for biostatistical analysis.
- The Foulkes-Davis tracking index aids in distinguishing individual measurement patterns.
- This method enhances the understanding of variability and stability in longitudinal data.