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Related Experiment Videos

A computer program for non-parametric analysis of incomplete repeated measures from two samples

C S Davis1

  • 1Department of Preventive Medicine and Environmental Health, University of Iowa College of Medicine, Iowa City 52242.

Computer Methods and Programs in Biomedicine
|February 1, 1994
PubMed
Summary
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RMNP2 is a FORTRAN program for analyzing repeated measures data using non-parametric tests. It handles missing data and suits continuous or ordered categorical outcomes, offering a flexible alternative to parametric methods.

Area of Science:

  • Biostatistics
  • Statistical Software

Background:

  • Repeated measures analysis is crucial for longitudinal studies.
  • Existing methods often require parametric assumptions or struggle with missing data.

Purpose of the Study:

  • Introduce RMNP2, a FORTRAN program for non-parametric repeated measures analysis.
  • Provide a user-friendly tool for comparing two groups with longitudinal data.

Main Methods:

  • Implements non-parametric two-sample tests by Wei and Lachin, and Wei and Johnson.
  • Accommodates subjects with missing responses under the Missing Completely At Random (MCAR) assumption.
  • Suitable for continuous or ordered categorical outcomes.

Main Results:

  • RMNP2 offers a robust method for repeated measures analysis.

Related Experiment Videos

  • The program effectively handles missing data, enhancing analytical power.
  • Demonstrates applicability to both continuous and ordered categorical data.

    • Conclusions:

    • RMNP2 provides a valuable, non-parametric approach for repeated measures analysis.
    • Its flexibility with data types and missing values makes it broadly applicable.
    • The program is accessible on various computing platforms.