Redmond, C K · Reviews of infectious diseases · 1991 · DOI
This paper reviews how ME/CFS research has been studied and analyzed over time. The authors found that many ME/CFS studies don't use the best statistical methods available. They recommend that future ME/CFS research should include expert statisticians who can use more advanced analytical techniques to better understand patterns in patient data and find clues about what causes this illness.
This paper addresses a fundamental problem in early ME/CFS research: studies were not using the most effective analytical tools to find important patterns in patient data. By highlighting the need for better statistical methods, this work laid groundwork for more rigorous, collaborative research approaches that could eventually reveal what causes ME/CFS and lead to better understanding of the disease.
This is a methodological commentary rather than an empirical study, so it does not provide direct evidence about ME/CFS causes, symptoms, or treatments. It does not analyze specific patient data or test specific hypotheses about disease etiology. It cannot prove that better statistical methods will definitively identify the cause of ME/CFS, only that current methods are suboptimal.
About the PEM badge: “PEM required” means post-exertional malaise was an explicit required diagnostic criterion for participant inclusion in this study — not that PEM was studied, observed, or discussed. Studies using criteria that do not require PEM (e.g. Fukuda, Oxford) are tagged “PEM not required”. How the atlas works →
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