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Related Concept Videos

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Statistical Analysis System (SAS)

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Updated: Jul 30, 2025

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%svy_freqs: A Generic SAS Macro for Creating Publication-Quality Three-Way Cross-Tabulations.

Jacques Muthusi1, Peter W Young2, Samuel Mwalili3

  • 1Division of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.

Journal of Open Research Software
|May 14, 2023
PubMed
Summary
This summary is machine-generated.

A new SAS macro, %svy_freqs, simplifies creating publication-quality cross-tabulation tables for epidemiological studies. It enhances analysis of socio-demographic data from complex surveys like NHANES.

Keywords:
SAS macrodisease prevalencereplication-based variance estimationreproducible researchthree-way cross-tabulations

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Area of Science:

  • Epidemiology
  • Biostatistics
  • Survey Methodology

Background:

  • Cross-tabulations are essential for analyzing socio-demographic distributions in epidemiological research.
  • Existing statistical procedures may lack features for complex survey data analysis.
  • There is a need for versatile tools to generate publication-ready tables.

Purpose of the Study:

  • To develop a generic SAS macro, %svy_freqs, for creating publication-quality cross-tabulation tables.
  • To enhance the analysis of survey or non-survey data, incorporating complex survey design features.
  • To provide advanced functionalities beyond existing SAS procedures for epidemiological data.

Main Methods:

  • Development of a generic SAS macro, %svy_freqs.
  • Incorporation of parameters for survey design and replication-based variance estimation.
  • Implementation of validation checks and data formatting for character and numeric variables.
  • Demonstration using the 2013-2014 National Health and Nutrition Examination Survey (NHANES) data.

Main Results:

  • The %svy_freqs macro successfully generates publication-quality cross-tabulation tables.
  • The macro accommodates complex survey designs and offers advanced variance estimation methods.
  • It provides features for data validation, formatting, and generalizability, improving upon existing methods.
  • The macro's utility is demonstrated with real-world NHANES data.

Conclusions:

  • The %svy_freqs macro is a valuable tool for epidemiological researchers, simplifying the creation of complex cross-tabulation tables.
  • It offers enhanced analytical capabilities for both survey and non-survey data, particularly for complex survey designs.
  • The macro promotes more robust and generalizable findings in epidemiological studies by incorporating advanced statistical features.