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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



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., 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:
  2. 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:
  3. Gleiss, A. and Schemper, M. (2019) ‘Quantifying degrees of necessity and of sufficiency in cause‐effect relationships with dichotomous and survival outcomes’, Statistics in Medicine, 38(23), pp. 4733–4748. Available at:
  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:
  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: