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Comparing User-Written Codes for Performing Economic Evaluations in Stata
Bradley Barker-Jones1, Patricia Navvuga2, Petra Baji3
1Bristol Medical School, Population Health Sciences, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK. bradley.barker-jones@bristol.ac.uk.
Pharmacoeconomics
|July 17, 2026
Summary
Choosing the right Stata code is crucial for trial-based economic evaluations. Different codes yield varying results, especially with missing data and covariate adjustment, highlighting the need for careful selection.
Area of Science:
- Health economics
- Biostatistics
- Statistical software applications
Background:
- User-written Stata codes for economic evaluations lack standardized assessment and guidance.
- Publicly available Stata codes for trial-based economic evaluations require comparative analysis.
Purpose of the Study:
- To identify and compare publicly available user-written Stata codes for trial-based economic evaluations.
- To assess the performance of these codes in handling common statistical challenges.
Main Methods:
- A literature search identified relevant Stata codes.
- Codes were applied to clinical trial data with missing data and covariate adjustment.
- Comparison focused on estimating economic parameters, graphical outputs, and handling statistical challenges.
Main Results:
- Eight Stata codes from four publications were identified.
- Codes addressed health economic agreement, sampling uncertainty, and missing data.
- Estimates for quality-adjusted life years (QALYs) and net monetary benefit varied across codes, with some showing wider confidence intervals.
Conclusions:
- The choice of Stata code significantly impacts economic evaluation results.
- No single code comprehensively addresses all key outputs and statistical challenges.
- Codes vary in suitability for basic outputs versus complex analyses, particularly for missing data.
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