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June 3, 2026Scandinavian Journal of Clinical and Laboratory Investigation0 citations

A log-adjusted t-statistic for large clinical laboratory datasets: a simulation study and real-world application

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MGMehmet Güven GünverMSMehmet Fatih SertEYEray Yurtseven

Key Points

  • This research aims to assess the utility of the log-adjusted t-statistic for large clinical laboratory datasets.
  • Simulation study focusing on large datasets
  • Evaluation of significance thresholds
  • Application in real-world clinical data
  • Log-adjusted t-statistic aids in interpreting significance without being driven solely by sample size.
  • Preserves the ability to detect meaningful effects despite larger samples.

Abstract

= 0.05 threshold for illustrative purposes only and were not intended to imply formal Type I error control. These findings suggest that the log-adjusted t-statistic may serve as a useful empirical decision aid for interpreting large clinical laboratory datasets by attenuating sample-size-driven significance while preserving detection of substantively meaningful effects.

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Cite This Study

Günver et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc3d7dee9eb8c0dce55d9https://doi.org/10.1080/00365513.2026.2681040
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