Comparison of statistical methods for the analysis of patient-reported outcomes (PROs), particularly the Short-Form 36 (SF-36), in randomised controlled trials (RCTs) using standardised effect size (SES): an empirical analysis

The SES is a simple method to unify and compare estimates produced from various statistical methods on different scales. As these methods did not produce identical SES values, it is crucial to comprehensively understand and carefully select appropriate statistical methods, especially for analysing PROs like SF-36, to avoid drawing wrong estimates and conclusions using clinical trial data. Future research will focus on simulation analysis to compare the estimation accuracy and robustness of these methods.

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Publication Details

Journal
Health and Quality of Life Outcomes
Published
2025-04-29
DOI
https://doi.org/10.1186/s12955-025-02373-z
Citations
1
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
3.13

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article

Comparison of statistical methods for the analysis of patient-reported outcomes (PROs), particularly the Short-Form 36 (SF-36), in randomised controlled trials (RCTs) using standardised effect size (SES): an empirical analysis

Laura Flight, Richard Jacques, Yirui Qian, Stephen J. Walters
1 citations
Health and Quality of Life Outcomes
Health Systems, Economic Evaluations, Quality of Life
3.13
article

Comparison of statistical methods for the analysis of patient-reported outcomes (PROs), particularly the Short-Form 36 (SF-36), in randomised controlled trials (RCTs) using standardised effect size (SES): an empirical analysis

Laura Flight, Richard Jacques, Yirui Qian, Stephen J. Walters
article en
1 citations

Abstract

The SES is a simple method to unify and compare estimates produced from various statistical methods on different scales. As these methods did not produce identical SES values, it is crucial to comprehensively understand and carefully select appropriate statistical methods, especially for analysing PROs like SF-36, to avoid drawing wrong estimates and conclusions using clinical trial data. Future research will focus on simulation analysis to compare the estimation accuracy and robustness of these methods.

Health and Quality of Life OutcomesVol. 23(1)
University of Sheffield (GB)
National Institute for Health and Care Research
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Health Systems, Economic Evaluations, Quality of Life
3.13
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