Daily Gamma-Activity Scaling in COPD Research: A Reproducible Audit of Published Quartiles
Abstract
Interquartile contrasts make environmental associations easier to describe, but they do not create a common physical exposure across measurement bands or averaging windows. This article audits daily exposure summaries published in a study of particulate matter gamma activity and biomarkers in people with chronic obstructive pulmonary disease. We extract the first and third quartiles for seven ambient and seven estimated indoor gamma-activity measures and calculate their interquartile ranges. Indoor-to-ambient range ratios vary from 0.631 to 0.714. The range for ambient gamma band 3 is approximately 76 times that for band 9, illustrating the importance of the underlying measurement scale. These are descriptive transformations of published daily summaries. They are not patient-level analyses, absorbed-dose estimates, or reconstructed seven-day biomarker effects. We use the audit to distinguish exposure standardization, repeated-visit inference, multiplicity, and causal interpretation. A reproducible summary-table analysis can clarify what a reported contrast means without claiming access to unavailable clinical records. Keywords: COPD; gamma activity; interquartile range; exposure standardization; repeated measures; secondary analysis.
Archive transfer
Originally published in Inclusive Growth and Management Quarterly (NB), article 210, on 2026-10-22. Transferred to Journal of Evidence and Innovation on 3 November 2026. The original authors, publication date and article text are retained.
References
- Huang, Shaodan, et al. “Short-term exposures to particulate matter gamma radiation activities and biomarkers of systemic inflammation and endothelial activation in COPD patients.” Environmental Research, vol. 180, 2020a, pp. 108841. https://doi.org/10.1016/j.envres.2019.108841.
- Tong, H., Xu, G., & Chen, Y. (2026, May). Hadamard Tensor Ring for Efficient Low-Rank Fine-Tuning. In ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Huang, Shaodan, et al. “Effects of particulate matter gamma radiation on oxidative stress biomarkers in COPD patients.” Journal of Exposure Science & Environmental Epidemiology, vol. 31, no. 4, 2020b, pp. 727-735. https://doi.org/10.1038/s41370-020-0204-8.
- Laird, Nan M. and James H. Ware. “Random-Effects Models for Longitudinal Data.” Biometrics, vol. 38, no. 4, 1982, pp. 963. https://doi.org/10.2307/2529876.
- Bates, Douglas, Martin Mächler, Ben Bolker, and Steve Walker. “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software, vol. 67, no. 1, 2015. https://doi.org/10.18637/jss.v067.i01.
- White, Halbert. “A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.” Econometrica, vol. 48, no. 4, 1980, pp. 817–838. https://doi.org/10.2307/1912934.
- Benjamini, Yoav and Yosef Hochberg. “Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing.” Journal of the Royal Statistical Society Series B: Statistical Methodology, vol. 57, no. 1, 1995, pp. 289-300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x.
- Benjamini, Yoav and Daniel Yekutieli. “The control of the false discovery rate in multiple testing under dependency.” The Annals of Statistics, vol. 29, no. 4, 2001, pp. 1165-1188. https://doi.org/10.1214/aos/1013699998.
- Greenland, Sander, Judea Pearl, and James M. Robins. “Causal Diagrams for Epidemiologic Research.” Epidemiology, vol. 10, no. 1, 1999, pp. 37-48. https://doi.org/10.1097/00001648-199901000-00008.
- Hu, Edward J., et al. “LoRA: Low-Rank Adaptation of Large Language Models.” International Conference on Learning Representations, 2022. https://openreview.net/forum?id=nZeVKeeFYf9.
Published
Issue
Section
License
Copyright (c) 2026 Cole Richardson, Ian Matthews, Grant Douglas (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.