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1.
Schmiegel, S.* ; Marchi, H.* ; Röchter, M.H.* ; Rudwaleit, M.* & Fuchs, C.: Single-label and multi-label classification for disease recognition with special consideration of comorbidities. BMC Med. Res. Methodol. 26:155 (2026)
2.
Valentin, H.* et al.: Managing withdrawals and exclusions of study participants in COVID-19-research by NUKLEUS. BMC Med. Res. Methodol. 25:148 (2025)
3.
Hartig, C.* et al.: A deeper consideration of sex/gender in quantitative health research: A checklist for incorporating multidimensionality, variety, embodiment, and intersectionality throughout the whole research process. BMC Med. Res. Methodol. 24:180 (2024)
4.
Kurz, C.F.: Tweedie distributions for fitting semicontinuous health care utilization cost data. BMC Med. Res. Methodol. 17:171 (2017)
5.
Olden, M.* ; Holle, R. ; Heid, I.* & Stark, K.*: IDGenerator: Unique identifier generator for epidemiologic or clinical studies. BMC Med. Res. Methodol. 16:120 (2016)
6.
Wahl, S. ; Boulesteix, A.L.* ; Zierer, A. ; Thorand, B. & Avan de Wiel, M.*: Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation. BMC Med. Res. Methodol. 16:144 (2016)
7.
de Bin, R.* ; Herold, T. & Boulesteix, A.-L.*: Added predictive value of omics data: Specific issues related to validation illustrated by two case studies. BMC Med. Res. Methodol. 14:117 (2014)
8.
Hunger, M. ; Döring, A. & Holle, R.: Longitudinal beta regression models for analyzing health-related quality of life scores over time. BMC Med. Res. Methodol. 12:144 (2012)
9.
Lacruz, M.-E. et al.: Mental health in the aged: Prevalence, covariates and related neuroendocrine, cardiovascular and inflammatory factors of successful aging. BMC Med. Res. Methodol. 10:36 (2010)