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[Major statistical software usable in epidemiology]

C Binquet¹, C Verret, G Chêne

¹Service d'Information Médicale, CHU de Bordeaux.

Revue D'Epidemiologie Et De Sante Publique

|November 7, 1998

Summary

This summary is machine-generated.

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This review evaluates statistical software for quality assurance in biostatistical data analysis. It categorizes 26 general-purpose tools based on functionality, user-friendliness, and graph quality to aid users in selecting appropriate software.

Area of Science:

Biostatistics
Statistical Software Evaluation

Context:

Biostatistical data analysis quality assurance is increasingly mandatory.
A growing number of statistical software tools are available.
Guidance is needed for users selecting appropriate software.

Purpose:

To review and categorize statistical software for biostatistical data analysis.
To assist users in navigating the landscape of available software tools.
To evaluate software based on essential statistical functions, advanced analyses, user-friendliness, and graph quality.

Summary:

A comprehensive review identified 26 general statistical software packages from an initial list of 220.
Software was evaluated on essential functions (e.g., descriptive analysis, t-tests, ANOVA, chi-squared) and advanced analyses (e.g., survival, multivariate analysis).

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The study classified software into four categories: easy-to-use public, simple reference, complex reference, and specialized tools, with user-friendliness and graph quality also assessed.

Impact:

Provides a structured framework for selecting biostatistical software.
Aids researchers and data analysts in making informed decisions for quality assurance.
Highlights the need for regular updates to software reviews in this rapidly evolving field.