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A SAS macro for constructing simultaneous confidence intervals for multinomial proportions

W L May1, W D Johnson

  • 1Department of Preventive Medicine, The University of Mississippi Medical Center, Jackson 39216-4505, USA.

Computer Methods and Programs in Biomedicine
|July 1, 1997
PubMed
Summary
This summary is machine-generated.

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This study introduces a flexible SAS macro for constructing simultaneous confidence intervals for multinomial proportions. It allows users to choose from six methods, enhancing statistical analysis accessibility.

Area of Science:

  • Statistics
  • Statistical Computing

Background:

  • Simultaneous confidence intervals for multinomial proportions are crucial for accurate statistical inference.
  • Existing statistical software often lacks flexibility in choosing construction methods for these intervals.

Purpose of the Study:

  • To develop a user-friendly SAS macro for constructing simultaneous confidence intervals for multinomial proportions.
  • To provide flexibility by allowing users to select from six different interval construction methods.

Main Methods:

  • Development of a SAS macro utilizing PROC IML.
  • Inputting multinomial cell counts to generate simultaneous confidence intervals.
  • Implementation of six distinct methods for interval construction.

Main Results:

Related Experiment Videos

  • The macro offers ease of use and flexibility in specifying coverage probability.
  • It enables the selection of various methods for constructing multinomial proportion confidence intervals.

Conclusions:

  • The developed SAS macro enhances the practical application of simultaneous confidence intervals for multinomial proportions.
  • The macro's flexibility supports researchers in choosing appropriate statistical methods based on simulation recommendations, such as Goodman's (1965) intervals.