Big Evidence with Small Samples: A Methodological Perspective on N-of-1 (Single Case Experimental Designs) Based on Medical Studies

Epistemological Foundations: The Crisis of the "Average Patient" and the Need for Personalized EvidenceThe gold standard of modern medicine, evidence-based medicine (EBM), primarily relies on randomized controlled trials (RCTs) that utilize a nomothetic approach, aiming to discover general laws applicable to populations.1,2 However, this "average patient" paradigm creates an epistemological gap when applied to the individual in clinical practice.3 While RCTs provide high external validity for populations, they often mask inter-individual variability, leading to the "tyranny of the average".4,5 In medical research, the tension between the nomothetic (population-based) and idiographic (individualbased) approaches has sparked significant criticism regarding the clinical utility of aggregate data.6,7 Traditional EBM often struggles to address heterogeneous treatment effects, in which a medication that benefits the majority may be ineffective or even harmful to an individual.[8][9][10] This limitation necessitates a shift toward a more nuanced understanding of evidence, one that prioritizes the unique

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Journal
Archives of Basic and Clinical Research
Published
2026-10-28
DOI
https://doi.org/10.4274/abcr.2026.26398
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

Big Evidence with Small Samples: A Methodological Perspective on N-of-1 (Single Case Experimental Designs) Based on Medical Studies

Orhan Aydın, Mehmet Tahir Huyut
Archives of Basic and Clinical Research
Statistical Methods in Clinical Trials
article

Big Evidence with Small Samples: A Methodological Perspective on N-of-1 (Single Case Experimental Designs) Based on Medical Studies

Orhan Aydın, Mehmet Tahir Huyut
article en

Abstract

Epistemological Foundations: The Crisis of the "Average Patient" and the Need for Personalized EvidenceThe gold standard of modern medicine, evidence-based medicine (EBM), primarily relies on randomized controlled trials (RCTs) that utilize a nomothetic approach, aiming to discover general laws applicable to populations.1,2 However, this "average patient" paradigm creates an epistemological gap when applied to the individual in clinical practice.3 While RCTs provide high external validity for populations, they often mask inter-individual variability, leading to the "tyranny of the average".4,5 In medical research, the tension between the nomothetic (population-based) and idiographic (individualbased) approaches has sparked significant criticism regarding the clinical utility of aggregate data.6,7 Traditional EBM often struggles to address heterogeneous treatment effects, in which a medication that benefits the majority may be ineffective or even harmful to an individual.[8][9][10] This limitation necessitates a shift toward a more nuanced understanding of evidence, one that prioritizes the unique

Archives of Basic and Clinical ResearchVol. 8(3)
Ankara University (TR), Erzincan Binali Yıldırım University (TR)
Good health and well-being
Openalex Percentile: Top 12%
Statistical Methods in Clinical Trials
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