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Detail

Andreas Gleiss
Andreas Gleiss, PhD

Center for Medical Data Science (Institute of Clinical Biometrics)
Position: Consultant

ORCID: 0000-0001-8010-7665
T +43 1 40400 - 66830
andreas.gleiss@meduniwien.ac.at

Keywords

Biostatistics

Research group(s)

Research interests

  • Clinical collaborations
  • Explained variation, reference curve estimation, zero inflation

Techniques, methods & infrastructure

Clinical collaborations: Survival analysis, mixed models, regression models

Explained variation: Schemper-Henderson measure, degrees of necessity and of sufficiency

Reference curve estimation: generalized additive models for location scale and shape (GAMLSS)

Zero inflation: one-part tests, two-part tests, left-inflated mixture model

Selected publications

  1. Gleiss, A. (2025) ‘Visualizing a marker’s degrees of necessity and of sufficiency in the predictiveness curve’, BMC Medical Research Methodology, 25(1). Available at: https://doi.org/10.1186/s12874-025-02544-y.
  2. Gleiss, A., Gnant, M. and Schemper, M. (2024) ‘Explained variation and degrees of necessity and of sufficiency for competing risks survival data’, Biometrical Journal, 66(2). Available at: https://doi.org/10.1002/bimj.202300140.
  3. Gleiss, A., Henderson, R. and Schemper, M. (2021) ‘Degrees of necessity and of sufficiency: Further results and extensions, with an application to covid‐19 mortality in Austria’, Statistics in Medicine, 40(14), pp. 3352–3366. Available at: https://doi.org/10.1002/sim.8961.
  4. Gleiss, A. et al. (2015) ‘Two-group comparisons of zero-inflated intensity values: the choice of test statistic matters’, Bioinformatics, 31(14), pp. 2310–2317. Available at: https://doi.org/10.1093/bioinformatics/btv154.
  5. Gleiss, A. et al., 2013. Austrian height and body proportion references for children aged 4 to under 19 years. Annals of Human Biology, 40(4), pp.324–332. Available at: http://dx.doi.org/10.3109/03014460.2013.776110.