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Propensity score analysis using the freely available user-friendly software EZR (Easy R)

  • 0Division of Hematology, Jichi Medical University, 3311-1, Yakushiji, Shimotuske-shi, Tochigi, 329-0498, Japan. ycanda-tky@umin.ac.jp.
Blood Research +

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January 22, 2026

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January 22, 2026

View abstract on PubMed

Summary

This summary is machine-generated.

Easy R (EZR) is free statistical software for medical researchers, offering advanced functions like propensity score analysis through a user-friendly interface. This guide details its use for propensity score matching and inverse probability weighting, comparing them to traditional methods.

Area Of Science

  • Medical Statistics
  • Biostatistics
  • Statistical Software

Background

  • Easy R (EZR) is a widely used, free statistical software package built on R and R Commander.
  • It provides a graphical user interface for various statistical analyses, including survival analysis, ROC analysis, meta-analysis, and sample size calculations.
  • A previous report on EZR has been highly cited, indicating its importance in the research community.

Purpose Of The Study

  • To describe the procedures for performing propensity score (PS) analysis using EZR.
  • To detail methods such as PS matching and inverse probability weighting within the EZR framework.
  • To compare the performance of PS analysis methods with conventional multivariate analyses.

Main Methods

  • Utilizing the Easy R (EZR) software package for statistical analysis.
  • Implementing propensity score (PS) matching techniques.
  • Applying inverse probability weighting (IPW) methods for causal inference.
  • Performing conventional multivariate statistical analyses for comparison.

Main Results

  • The study details the step-by-step implementation of propensity score analysis in EZR.
  • Comparisons are made between PS-based methods and traditional multivariate approaches.
  • The findings highlight the utility of EZR for advanced statistical modeling in medical research.

Conclusions

  • Easy R (EZR) provides a user-friendly platform for conducting advanced statistical analyses, including propensity score methods.
  • The software facilitates the comparison of propensity score matching and inverse probability weighting against conventional methods.
  • EZR is a valuable tool for researchers needing to perform complex statistical analyses in medical research.

Keywords:

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